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Lab-7-notes.html
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<!DOCTYPE html>
<html xmlns="http://www.w3.org/1999/xhtml">
<head>
<meta charset="utf-8" />
<meta http-equiv="Content-Type" content="text/html; charset=utf-8" />
<meta name="generator" content="pandoc" />
<meta http-equiv="X-UA-Compatible" content="IE=EDGE" />
<meta name="author" content="Fahd Alhazmi" />
<title>Lab 7: Central Limit Theorem (CTL)</title>
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) 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<h1 class="title toc-ignore">Lab 7: Central Limit Theorem (CTL)</h1>
<h4 class="author">Fahd Alhazmi</h4>
</div>
<div id="TOC">
<ul>
<li><a href="#sampling-distribution-of-the-mean">Sampling distribution of the mean</a></li>
<li><a href="#effect-of-sample-size">Effect of sample size</a></li>
<li><a href="#sampling-any-statistics">Sampling any statistics</a></li>
<li><a href="#the-confidence-intervals">The Confidence Intervals</a></li>
<li><a href="#recap">Recap:</a></li>
<li><a href="#if-you-want-to-read-more">If you want to read more:</a></li>
<li><a href="#exercises">Exercises</a></li>
</ul>
</div>
<p>Today we are going to talk about the most important concept in statistics: the Central Limit Theorem (CLT). It is usually called the most important theorem in statistics.</p>
<p>We all know we can’t sample all population – otherwise we don’t need all those inferential tools. We can only sample a finite number of elements from any population, and then hope that our descriptive statistics from this smaller sample will be close enough to the population. However, “close enough” is not enough. We need to be more specific. Well, we’ll need the Central Limit Theorem to give us a more exact estimate of how close are we to the population estimate.</p>
<p>I’ll repeat this: we only have a small sample (say 300 voters), and based on this small sample, we can claim that 20% will vote for candidate X or approves the president. Someone might yell “Seriously? How dare they talk about ALL THE MILLIONS OF AMERICAN VOTERS based on making few hundred calls?”. It is CTL that makes all that possible.</p>
<p>Let’s make this more concrete by thinking of CLT through simulations. Here, we will first make a population (so that we know the true estimates such as the mean and the standard deviation), and then we’ll sample from this population and see how close can we get.</p>
<p>Remember from last lab, we saw that the mean is called an unbiased estimate because it approximates the population mean (of a normal distribution) even in low number of samples. However, the standard deviation is called a biased estimate because it is always below the population standard deviation – and the more you sample (larger N), the closer you get to the population mean. Here, we will ask: then how should we estimate the variability of the population if our estimate from the sample (i.e., the standard deviation) is always biased?</p>
<div id="sampling-distribution-of-the-mean" class="section level1">
<h1>Sampling distribution of the mean</h1>
<p>To explore those answers, we will first make a population with known parameters (mean and standard deviation) and then we will repeatedly sample from this population to record the means.</p>
<p>First let’s make a population of size 100 scores from a normal distribution of mean = 100 and a standard deviation = 15</p>
<pre class="r"><code>sd_uncorrected<-function(x){
return(sqrt(sum((x-mean(x))^2)/length(x)))
}
population <- rnorm(n = 100, mean = 100, sd = 15)
population_mean <- mean(population)
population_std <- sd_uncorrected(population)</code></pre>
<p>Let’s print those estimates:</p>
<pre class="r"><code>paste('population mean = ', population_mean)</code></pre>
<pre><code>## [1] "population mean = 98.6224312567792"</code></pre>
<pre class="r"><code>paste('population std = ', population_std)</code></pre>
<pre><code>## [1] "population std = 14.5010092891134"</code></pre>
<p>Now, in any study, we are not going to sample all the population. We can only sample a finite subset of that population. We will see what happens when we sample a small number of observations and examine its mean:</p>
<pre class="r"><code>sample_size <- 10 # how many elements we want to sample
sample_n <- sample(population, size = sample_size, replace = FALSE)
sample_n</code></pre>
<pre><code>## [1] 70.93210 108.24827 105.45649 130.37193 87.73431 105.17426 81.29932
## [8] 114.51379 120.74231 123.28389</code></pre>
<p>Based on what we learned from the last lab, we know that the mean should be close enough to the population mean (which is 100), but the standard deviation will be less than the standard deviation of the population (which is 15).</p>
<pre class="r"><code>mean(sample_n)</code></pre>
<pre><code>## [1] 104.7757</code></pre>
<pre class="r"><code>sd_uncorrected(sample_n)</code></pre>
<pre><code>## [1] 18.29509</code></pre>
<p>So our sample estimates are quite different from the population parametres. The central limit theorem tells us that if you sample many more, and record the mean of those samples, then the distribution of those means should approximate a normal distribution. I know this does not sound that exciting at the moment, but let’s see that normal distribution first. We will now take many samples, and record the means of those samples, and then we will make a histogram of those means.</p>
<pre class="r"><code>n_experiments <- 1000 # we will sample 1000 times
sample_size <- 10 # how many elements we want to sample?
sample_means <- c()
for (i in 1:n_experiments) {
this_sample <- sample(population, size=sample_size, replace=FALSE)
sample_means[i] <- mean(this_sample)
}</code></pre>
<p>Now we will plot those means:</p>
<pre class="r"><code>library(ggplot2)
sample_means_df <- data.frame(means=sample_means)
ggplot(sample_means_df, aes(x=means)) +
geom_histogram() +
geom_vline(xintercept = population_mean, color='red') + # population mean
geom_vline(xintercept = mean(sample_means_df$means), color='black')</code></pre>
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" width="672" /></p>
<p>Look at that! First, you see that it is a bell-curve (i.e., a normal distribution). But remember, those are not the actual samples! those are the means of those repeated samples: so we should expect that the mean of the sample means (colored black) is close enough to our population mean (colored red). Also, note that the numbers are pretty narrow around the mean of the means. We can actually compute the standard deviation:</p>
<pre class="r"><code>sd_uncorrected(sample_means_df$means)</code></pre>
<pre><code>## [1] 4.486699</code></pre>
<p>The standard deviation of the sampling distribution of the means is a very important quantity: it is called the standard error of the mean. (mean here refers to the mean of sample means and NOT mean of a given sample).</p>
<p>Now, this number is VERY helpful. Why? Because we can use that standard deviation to know what is the proportion of means that should lie within a given interval. For example, from last class, we know that if you have a normal distribution, then you can use <code>pnorm</code> to calculate the proportion of samples below any value or between any two values. For example, in a z-distribution that has a mean of 0 and a standard deviation of 1, the proportion of values that lie between 1 and -1 is approximately 68% :</p>
<pre class="r"><code>pnorm(q=1, mean=0, sd=1, lower.tail = TRUE) -
pnorm(q=-1, mean=0, sd=1, lower.tail = TRUE) </code></pre>
<pre><code>## [1] 0.6826895</code></pre>
<p>meaning: 68% of values should lie within 1 standard deviation from the mean (either either below or above the mean). If you have the standard deviation of the mean of the means, then you can say things like: the means should be 1 standard deviation above or below this number in 68% of the time. In other words: you can actually use that standard deviation to quantify the variability of any estimate (e.g., the mean of the sample) and give a range of the possible values (e.g., 1 std above and below). Does that remind you of something?? HMMM.. Try Confidence Intervals!</p>
<p>There is only one tiny problem here. Since we created that population, and made all those repeated sampling, we already know what is the value of the standard error. However, in a real-world situation, you only have a sample from that unknown population. How should you calculate the standard error (or the standard deviation of the mean of the means)?</p>
<p>Believe it or not, you can do that using only the sample standard deviation and the sample size! The formula for the standard error of the mean is:</p>
<p><span class="math display">\[
\frac{sd_{sample}}{\sqrt{N}}
\]</span></p>
<p>Just divide your sample standard deviation with the square root of sample size! (well, here you should say wow). Let’s take a sample from the population and see if it is close to the value we got above:</p>
<pre class="r"><code>sample_size <- 10
another_sample <- sample(population, size=sample_size, replace=FALSE)
sd(another_sample)/sqrt(sample_size)</code></pre>
<pre><code>## [1] 5.668853</code></pre>
<p>Which should be reasonably close. How close? well, that depends on the sample size! As the sample size increases, your samples will be much more representative of the population and thus your estimated mean of the means will be much closer to the population mean.</p>
</div>
<div id="effect-of-sample-size" class="section level1">
<h1>Effect of sample size</h1>
<p>Let’s run a simulation of how much sample size you need to approximate the true variability of the population. This time, we don’t really need to define a population: we only need to know that we are sampling from a population of mean equals to 100 and a standard deviation equals to 15. (or change those to your own values)</p>
<pre class="r"><code>population_mean <- 100
population_std <- 15
n_experiments <- 1000 # we will sample 1000 times
sample_size <- 1:100 # how many elements we want to sample?
mean_of_means <- c()
mean_of_sds <- c()
mean_of_sems_sampled <- c()
for (this_sample_size in sample_size) {
sample_means <- c()
sample_sds <- c()
sample_sems_true <- c()
sample_sems_sampled <- c()
for (i in 1:n_experiments) {
this_sample <- rnorm(n=this_sample_size, mean=population_mean, sd=population_std)
sample_means[i] <- mean(this_sample)
sample_sds[i] <- sd(this_sample)
sample_sems_sampled[i] <- sd(this_sample)/sqrt(this_sample_size)
}
mean_of_means[this_sample_size] <- mean(sample_means)
mean_of_sds[this_sample_size] <-mean(sample_sds)
mean_of_sems_sampled[this_sample_size] <-mean(sample_sems_sampled)
}
my_df <- data.frame(sample_size,
mean_of_means,
mean_of_sds,
mean_of_sems_sampled)</code></pre>
<pre class="r"><code>library(ggpubr)
g1 <- ggplot(my_df, aes(x=sample_size, y=mean_of_means)) +
#geom_point() +
geom_line() +
geom_hline(yintercept = population_mean) +
ylim(c(95, 105))
g2 <- ggplot(my_df, aes(x=sample_size, y=mean_of_sds)) +
#geom_point() +
geom_line() +
geom_hline(yintercept = population_std)
g3 <- ggplot(my_df, aes(x=sample_size)) +
#geom_point() +
geom_line(aes( y=mean_of_sems_sampled), color='black') +
geom_hline(yintercept = 0)
ggarrange(g1, g2, g3, ncol = 3, nrow = 1)</code></pre>
<p><img 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UfYGhXTx7gxO35p2zPcY1F0cBsfijwnKfrx15tbbgLdAM2S9j4FGoECVaBAU5cng0C/cdUxNi6sgEDn10GFJ6tfHgYG51vFMd5pQcyc/GHmjIFj5P18tRv1cn7FPYXeU5zGv55bFQIdWx+j7JuBbYDT5W2+J449xXFo40U5gbYHXh14xGSvrYGbzTXAZqPl3/gSrmztB9wj7U0+zPW4b+KGDQGka7/iqPmocusHam8mXyY2QIHKUKAKFGjq8mQQqOsu3B4XVkCgX7i/+7lY+OVioEH+Do4YmC6Y3mju5rgxt3Qc6n8j7ecz3agx+ZWTgF5236DBFej3mwCdxR33CyKn2rY9BujtvrQDvswJdF008gcCPRR4xbaPFIrcW+r3Ke7wuy8vu3lt9e1ugHs2/4Jt9wCeCmMqm7qNZSfQfwLKY1hRKFAZClSBAk1dngwCfdu/JmikgEDfhH/j+5dj3aW2c73GKUJg2+RDnvb6qAt2BAZ5+3nuPdfMse0uYrgjP2iYe/48zh4I3JFbdwV6nBhbZFFH4KUGWF/e5g25dI9xf+IJdAawnf+jQcBQcVNMIB21ngx4HZc+dJ38rwq0ugIYaNuuST+T3vYEbL+87AS6Y8LlaW+3U6ASFKgCBZq6PBkEOs61zSlxYQUE+nj+KPIXMZ48zvAa7/A6DeVDXKntnltaG9h0lfPLxJObA+d5Z975Y9Nn6gFXe+feuf6jPy52HvEsOHmH3L0l+TGic3LePde1oifQceEDTE+LwTc+A7a/uQ5azA1+o61/mGxPbCbe9Ky3xPUCuwWaypMozX9xdtk9ymnvDnydsPsp0AgUqAIFmro8GQQqhnKPHbKigEBHwj9o/GVD1K+LOuPEsnsmXhE67zDvAqTLTCGvl50XxE0c8Yi36Nx+hdu+6KUz1soN23aPPwD76AYVG7qqc48Xr10Tze1u0Wu0RwOvui83u8eznkBvBC72f/R9HWxhjxan+AcCt+V/YUbYm/KRuu5G317YAg1+nJG74yRTfgLdD/g0YfdToBEoUAUKNHV5Mgj0btcp7eLCCgj0P+7v/lcsLKxA63NyFyftnYFdw65H6wHregvegHNdlm7qnq0Lz9mNcw9pvuGN7rm7uBX1dO5apb2Dd/TZbgywF7CTfVn0nn474Cv35RngRE+gp3oPY+Zog4oZZ4o+9Q8Bu+Ub75eekXfP3tva4jnQMeP0oeLKT6CHAO8n7H4KNAIFqkCBpi5PBoHe4Moqtrt2AYG68sI5YuFj96DyI2Bvd3FOfaw/ILi8KbrL1/dOle8XVmxwrHuC/eVmqDfPG0yun233FMMZt/fmdXNPrS3bG8StcWOs++GPDcSRbCdxiHyStE1x+932Rirad8mL05fYHaRe+8cBj+0phm9asFE4tt0pwAPBb1/Ybqz33NHZ14QHrnnKT6BHAW8l7H4KNAIFqkCBpi5PBoFeLhQXN59lAYG6p9M4USyMdY8+FzTwHsV8ETjihqBT033CkzPF0pXAGmKl/lvCee9PFMvHevfML/gkF/s50N59ORu41PnePSTdQ4ScKzrTr7lxvYP9vp1zK3KXBObVQ7MWaPylvTHqB90+r3fjm6C5K9iBQS/PWWujInziyeN99yhYuoWVp/wE2t3rVhAPBSpDgSpQoKnLk0Gg5wtNfRUTVkCge8O/xz4C+I94uPxH7yz5sqeCg8b+4t0/Fkt9gYHInba7i4+OQW6YkH8D0/x3q/TOrxe2QsXn3pNI5/ud6NeCf7QqeD8/RuYmXuuQWb5QPSYArXLd5D+vhzVz2hwMHKqOB9pK/Gq9qUpr+QnUPTx/NmH3U6ARKFAFCjR1eTIIVAwYhze8xcpKNSxGoB/6jxC1yV8/dV13j+iG+bZtW8BzU4K+m95RpHj0XAw5P3l7YNtKb1r3/47wemt6t8iDrTYTHZZc+e6ee5TzGRHyvG2f6J7610FF7krnGP9CqTiMrQNs/5p8C2x+Y1/R3lhLI8TrDy3d02BVoOeh7nZ9x6mfqvwEeirwhGH3B1CgMhSoAgWaujwZBNpDOOcRsfTu2i0+VMLMAp1Qv84z3kIL+GMldRXnmu7R5ijb3gj1fphXV9wmcpnfBPmeTm1QMedONBDX9B4HTr5Y/GBH8bRi0+B9NxWXS93T1htzAp3TINdPf+HELxZe4p7He8ndII51BW8dduEMV+DniLP8AM/Xj4mlJ/yxNN0D4g76iPTvzDTsk/IT6ADgfkOiARSoDAWqQIGmLk8GgVrCOdeLpSsiDzd6mAU63J+vfF6F+6triaXdgS9Fh6JBYmjj7cT5dX1vyDjv1jvudJcWNXYPL5e//ZXYiR8C+4qbR8Ky8oBDOwPf/dAUDb/zBxNxT+8b+X01F7oHnNuLQ9VzxLGuz++XAU1zb+8jrhhUeD2oFrqn+JNcCa8HvBQzqZxK+Qn0osiH06FAZShQBQo0dXkyCLSDMJnX//Is4BIlzCzQS4H9xetn4le9h+FbCdM9K+4KPeb16dzLHxfEPV5skeuF9KU42ff38/z62ESMlIyW9g/hKMq2GNDzw9uBjvnRmAYC/8z/7OtWuSy7SPdVfv/K8/ObYWajclYWXOg9kH81sE/crJwq5SfQy/zrEHFQoDIUqAIFmro8GQS6q3CQN/34cflniULMAj0daCVeX/f89YVtV9bB1t6T8bvZ7qn5cO+6gHf3w33t4j04KUavOybYz1uhjnv23RwNRDenfYP37ebKcV/g4bxAn5NHo3++DhpMDLqBevzuiC6j8nChotfUMbnFqXXQsnKGq+/naq9Ah+nnBBEoUBkKVIECTV2eDAL1RsL0Dijdg8IeSphZoOLB92/t3ENM3sPwH3jvsKipe0h5uPeg0CX+GHRtgdtzHYruFM9v5vfzQeJhpWbbAHMmeJO6+ZzmHqzWwTrz8gKdv2+zx8OtngzsssDeIDirF1/Goe72N5NTWz/sde8eWo/q4t2Tr7UCvVGMu58ABSpDgSpQoKnLk0GgrVDf6z5k2//Sn+k0C/RQV1viHrZ3Jx1PenfOxa3x7V2vboT6c73n4c9zGz6tg81eyx0TXiLORvP7+TTxe1vvAXz5tP/4kscg7/nNM+UpPSS+3wj47yzvWNfnd2dmBXCQHHRE+AzUvd67NZ5SiwV6u35RJQIFKkOBKlCgqcuTQaBrYN3maCGWNs09SiRjFuju8M7ThfA28m5z3JS7NX4U8EhubCRxwj6zz5Zu3NEf5Y5ve4gn2vP72RuUcx/3iPe9++Sb6Dd411TfjxGonRtgJHe07OF+GXfx72fleaXtcfkD1ErRR8A7gqu1Ah0d6WKgQ4HKUKAKFGjq8qQX6KI6+EdbVIixi5rKN3RymAUqzvrF4+X9gAO8EZTOBe62RfdKHJO7DPAlsM3Onu5GzAR2tv3bSvn9/JT4SXc39tXrgKuC9x0tmsXDSGaBihGXwx71tvdlHJZwn1r0cN1ZdAaotQJ9VBlMWoUClaFAFSjQ1OVJL9BZwI4dgI9se47rm02VMLNA14M3IJzdCTjLO0bqmrs1fpvXq+ha2+u0JA4mW59w36JF9byrlF7Hpvx+FoM445yTgacuBW4N3vd50SyG7owR6NftN227R5dwIiX3y7jgtLO03v95JgL13xYLtVagz8gXOAxQoDIUqAIFmro86QX6ObDXcd4Q7cJq6vycZoGKDu5iLqT2wG3ew/C7526Nv+wdIXq9jMRB6povedHriK6i8+ph83A/e5NtXnMOMPp0vxO/xztuqzeOZ4xAVcJ54c0c1yB3dFtrBfoScFxSxhSoDAWqQIGmLk96gU4GDjvPOwMfL7oEKaOKGAU6K997qTUq3vRm72iFRsJ433iPmM8RMQe7Mvbv5rhR873Bk6T9/E838IHB7gn+scBLwRuL+du9yZRKJNA8tVagb4ppTRKgQGUoUAUKNHV50gv0FaDbcODK3PDy+M62R/UNR9kwCtQ7ARfPZzZHi+mi72dlHbT2vuHits22Xsy1aPmGH767mMf9ae9INdjPh7uBr7qbvSoy4uX8Ov5EnRRoTizvSpNLmaBAZShQBQo0dXnSC/RJoM9D3r2KW4UWp9rf1EPHIMwV6Ly92n4Q/d03PYFeaVdWoM2COthSzIJ0sPcNb4fgnHPyN/nwQ8UAnTeJxzzD/SxmlPv8TuDCdpH5Onb0RlKiQPNimQp/h8RAgcpQoAoUaOrypBfoaOCc8WLcYm9gUEwQwxpvG4S5Ar3GG7ZTxj2a/IcQ5afAXu5BZ3PR0M/7hneH4dGZ44AXxSPsd0v7+Uag7oJH3RP2rVBnQRg644FZ3isFmhPLV7mbdbFQoDIUqAIFmro86QU6Ahg8Ddgjd1SIseKQtEUQ5gq0LdDo28jv3gscL/omvSpmxWiNisqbgau9b/glMIwA3B94SPRAelXaz8+Kh0HHAT1aeHejVCjQnFhmAv9KypgClaFAFSjQ1OVJL9Cr3WPGBV5PIzGRMO6373L/nZMPW+ZMgnZUeb17/t4CTRY+ApwqRkz64nzgEe8bfl/+HpLMYPFY567iQmi4n6eJweYmAkfUy4/9EYECzYml0n9GLA4KVIYCVaBAU5cnvUAvFvNXtkLDRbY3PtItYrRjBBc9lzknAvI5vWAQMLI98OHNYuIOC3irg7vifcMnSBPCB9wgZt9c25voONzPRzUYIa7w7Wg+xKJAfbHUzQ23GgcFKkOBKlCgqcuTXqDuCfaD9i7iVs4uQpVXiceJwmmEl/3UGI02E6ffs1+Yl28U5+R9gQcuFfNf9nZXGmLNFd43vHJj7xH4KOIq67ScKKP7+Ttg7fwEHVEoUF8sTXLDXsVBgcpQoAoUaOrypBdoT6HLTuLS5aa5gUHFSMfBnOrLRgDdLweOf6FVeCupBzDOPY2/2JXo4/YFQDego/8N/+alRbbKs8BJT+fuzkf380IxHjO6GrKjQH2xtJCuRxugQGUoUAUKNHV50gv0aOB1MaXRbeJReDHy3BHwehzlWLYd8OLXDdCgLrBJvvFw4J1XgHXai7mUrgGauGf+Cd/wicCRw3Kjeij72Zul8xTDr1CgvlhaoUlSxhSoDAWqQIGmLk96gR4krnje7h56zvEmaevmDbV0cj7sDe8uxlFex89g7uM9gS8X7ek/jnSv9zo94RsuHhbtlZupSNnPG4lfvcjwKxSoL5YtUCcpYwpUhgJVoEBTlye9QPcQj7G7x5OdpgIbAwfbW7lSOzQfdq53B949Aa9oKmY9yuFNpPlxM/Hk5zwxI7wr2aRv+Fxgmz1yU3wo+7mtfoc/BwXqi0Wes9QABSpDgSpQoKnLk16g24pOS98CO4wH9gF2t9d2pbZDPuzfnvgW9dz2oU7iVD/HBt4d9ZvgdRidKCTYP/Eb3gQbtkBTcXFU2c+75UdfUqFAfbH8CzDNH5qHApWhQBUo0NTlSS/QTVHfFjcrmj0G9HaPJeeLOzvr+FGVjbCO/6lPF3fr7UWvfism0vQuhx7snd5787o9nfgN30hcGxBjgqr7+UD/mXoNCtQXy57SDFAGKFAZClSBAk1dnvQCzT0K1A4YDFzSBK2+9Aby9M8b3VN7yx9M5CpvoM9B2GhOfiLNL1uKG/MLXDk2qUz8hm8n3tK7h6/s56PFD8YbfoMC9cXSwZ/dNAYKVIYCVaBAU5cnvUDre4eTxwKHANdviCbeKbkYX1ngWnOoL9B7gXO8K6avfCpmChZMvV3Mh9lCXDhN/IbvI95xiFhS9nMv8YOPDb9BgfpiOVwMxBIPBSpDgSpQoKnLk1qgc3LPDg3y5m+/vy3whCfQ53NRHYG3fIG+CHS37Q2BW9+CNFyTGO4T1yR/w72b+I+KJWU/ny1+YLrGR4H6YukcmfVegwKVoUAVKNDU5Ukt0OnivpFtj/K0OW53YBhQL5hnaEPUX+YLdKo47pxT4R6HjgV6Su/kHl9OSf6G98qNk2dr+3mQ6Byl97ynQAOxHCePN61DgcpQoAoUaOrypBboh8CB7stbnkDfOxjoC7jHoZd5P/wE2DU/oHKlmE9YzLlx5GjvZD5gzD8HFPiGn+v+VhPPk8p+vsb9wbqm36BAfbH0Bp5JyJgClaFAFSjQ1OVJLdA3cpNG/Og9VflNN6CD92hmX3vBS7Psu4GzgxHp10VTb2Lhf96Ye6ooQuI3/Cr3t3bylpT9fLv7g9am36BAfbGc7l/7iIEClaFAFSjQ1OVJLVDxoLp4beWdTbuHn5sB/wWOsE9G61mnAI8FAt0RmHm1G9XAPfEeob5d4jd8JLzrp7a2nx9C7gKCBgXqi8U9eB+dkDEFKkOBKlCgqcuTWqCuw/qL171dl60vnomvCzwH7Fy5BtBlJ+CHQKCHApNOEcepRwIPqG+X+A0Xx625awLKfn5OfuhJhgL1xXIJcHtCxhSoDAWqQIGmLk9qgbpn0ReLVzEG0zbeyTYwrQnWH+N1B0WrcFK53sAYb8jQ9YOb9CGJ3/CXkJ+7WNnPExAzbS8F6ovlcuDGhIwpUBkKVIECTV2e1AK9xj1jF69XQMw7fIunzflboc4JnkrRJRTopcAtrXOtmKS+XeI3/P2gt6eynz92f3Cm6TcoUF8sbnmGJWRMgcpQoAoUaOrypBboYP+CpjjN7mzfL+y4tjifb4o6HcRIH6FARwIXNfQF+oX6donf8BlAk9xITsp+/kYeOU+GAvXFMiJ/8cMMBSpDgSpQoKnLk1qg5wCjxOt73sic3tBKW4nnkoBdv9sUeCsU6FOAewbvjUCHuerbJX7DFzbDbrklZT+L5+5vMP0GBeqL5U7zcH95KFAZClSBAk1dntQC7euP5jGvHnCJd1ESu3sdN91Dwwl79P0tFOi7wFpAt0aiU6f2dsnf8MePfTu3oO7npr6+VShQXyzuKcGAhIwpUBkKVIECTV2e1ALtDrzsLWwhDganenfZ7eHi5R3RuiwU6Czv2POibdx/NtberrhvuLafNwCeNcVRoL5YHhcTn8ZDgcpQoAoUaOrypBbo4b4p7QPElMbfCUf2tB92/93ca5UEmpuA4w7xYPt22ttlFGhrYKIpjgL1xfJs9LFZFQpUhgJVoEBTlye1QPcGPvMWBgAT7CFAXX8AACAASURBVIV1XD2e553Jn+a1ygJtIwT60gXuP3tpb5dRoO2Az01xFKgvllcQzuVngAKVoUAVKNDU5Ukt0J2A772Fb8+41v23uavHoeK2uX9qLQt0PyHQr+70TvJVMgr0EmxvGkuEAs2L5S3gqISMKVAZClSBAk1dntQC3RIVC6VmMbXxXfaiJlh7vrcuC1Tcm29qv+7+e6L2dhkFar9vnvGHAvXF8j5wSELGFKgMBapAgaYuT2qBrufNbxSwvavHp2z78n/clFuXBXqe97DS7ArgbO3tsgo0BgrUF8snwH4JGVOgMhSoAgWaujypBdoYreRm8Uj829K6LNDrIAYZEWMqD9HejgItbRnzYvk6ZrQVHwpUhgJVoEBTlyetQL9RxpM7UnnMSBaouDd/hjeA8k3a21GgpS1jXiyzgR0TMqZAZShQBQo0dXlSCvS5jZQjnB5AxTxpXRbom/DmletjGIyJAi1xGfNiWQD8MyFjClSGAlWgQFOXJ51AL6gLNH5Ybj4daC6vywKd7gr0Cdse13jjGdrbUaClLWMglnrYLCFjClSGAlWgQFOXJ5VAxZPv20+ONF8CbCmvywJd1AD4wH2dO19/Owq0tGUMxNIMGyRkTIHKUKAKFGjq8qQS6AFAT6Ub0TDkx/3IIQvU3hz1zb2OKNBSlzEQyzrRMwIFClSGAlWgQFOXJ41AJ1WgxY9K8+3A4fJ6RKDDmhgH7xRQoKUtYyCWjdEwIWMKVIYCVaBAU5cnjUCPAy5Qmx/1p0jKExFoAhRoacsYiGUrVBif1cpBgcpQoAoUaOrypBDo1w3QcLraPG3NivvkdQp0dRJuORDLtobBV0MoUBkKVIECTV2eFAI9VznYzPH1B5FVCnR1Em45EMuuwLfxGVOgMhSoAgWaujzFC/S3FqiYXDCMAl2dhFsOxLIXMC0+YwpUhgJVoEBTl6d4gT4RM6NwFAp0dRJuORDLAcBH8RlToDIUqAIFmro8xQv0RuC6wmEU6Ook3HIgliMNU6CGUKAyFKgCBZq6PMUL9NKY6YiiUKCrk3DLgVi6AK/HZ0yBylCgChRo6vIUL9BTgbGFwyjQ1Um45UAsxwPj4jOmQGUoUAUKNHV5ihdol5jpiKJQoKuTcMuBWPp647PGQYHKUKAKFGjq8hQv0P2i49bFQIGuTsItB2LpD0RGe4lCgcpQoAoUaOryFC/Q7RN7aOehQFcn4ZYDsZwP3BufMQUqQ4EqUKCpy1O8QFuhaRFhFOjqJNxyIJZBwK3xGVOgMhSoAgWaujzFC7QhNikijAJdnYRbDsRyFXB9fMYUqAwFqkCBpi5P0QKtBHYoIowCXZ2EWw7Ech3w3/iMKVAZClSBAk1dnqIF+kXydI95KNDVSbjlQCwjgUHxGVOgMhSoAgWaujxFC/QtoHMRYRTo6iTcciCWUcC58RlToDIUqAIFmro8RQv0GaBvEWEU6Ook3HIglseA0+IzpkBlKFAFCjR1eYoW6L3AhUWEUaA1QPC1XhlbxkAszxoHHcxDgcqUs0CX53Fr/sfyAvxRTIizolDM8qoiQqTU4lhRVTjENV+hmN+LCXFWyuurrTzhd6ZYgQ4HhhURRoFWjx5WwLdB48P5ptmxZQzE8hrQNT5jClSmnAValUdejqWYkCLep6iQkqRTQ59qtZUn/M4UK9CLgTuLCKNAq4ck0JlB4/AUAp0EHBmfMQUqU84CDXLiKXxiSK05hT8VGFNEGAVaPfJ7ZbJ1Rfif03M1c2plDMQyFegQnzEFKkOBKlCgqctTtECPSRwmLYACLQl/nnb8T8FK1bEd/ypUxkAs04E94jOmQGUoUAUKNHV5ihbo/sDUIsIo0JJwn/VBuPKr1a9gGQOxzE584IEClaFAFSjQ1OUpWqA7AbOKCKNAS8GMjsPlNevKSVeeMeT+/yWUMRDLwgpsHZ8xBSpDgSpQoKnLU7RAN0WDhPnGAyjQElB18VGV0uoEq5N3C+m49/ItH4z3+O7XgBWO81tuqTE2/jWW5c7S+B8GuLvpjyLCfq0qKspxVhUT9tfKYqLCz5lIxs+p1IEC1aFAo+WJF+j89o0flFbXwHqFPo2AAi0BH1m3yquPWtaoWcumDbS6LvZbeu7icZvpl1uiZYnS+H8PBapDgUbLEy/QicDh4Vol8M9Cn0ZAgVafqgFHR97p5eGvipeVZ1oj/ZYkgW6KxqVJg1CgOhRotDzxAn0aaBeuTQPaF/o0Agq0+kyxbjC2T7DO9JeeuMXj3fARjJXu30duqQ0qlsY+ufFHPiqRPx3nryLClhcZ5awqJmxlcVFOUZ8g4+dUdjgFqkOBRssTL9B7gM3DNfd4tGOhTyOgQKvPf61PjO2zrU7Ks5zhlsObKzsCs2Mz5k0kGd5EUqBAU5cnXqDXAM3CtWeBXoU+jYACrTY/HdV7lfEH861jlWfVwi2HYtkDmB6bMQUqQ4EqUKCpyxMv0IEAfgzWRieOkhZCgVabMdYDkfXf+/df5i1MsS6MLWMolg7Ax7EZU6AyFKgCBZq6PPEC7Qu56/wNwFWFPo2AAq02A6xp0YbB1ljvdYj1cGwZQ7EcCUyKzZgClaFAFSjQ1OWJF+jRrkBfC9YGAbcV+jQCCrS6/Gx1+jO/POZR4dLJVufxK52fbrF6/R5bxlAsXeWyqVCgMhSoAgWaujzxAt3PFeijwdrpwGOFPo2AAq0uE6zzg+Wu1uPi5W7L6tTDsnpOU2PDLYdi6Qk8G5sxBSpDgSpQoKnLEy/Q7V2B3hKsHZt0XCNBgVaXm6z7gmVfoFUfDOrV9fx71AdlzAI9Lek/dRSoDAWqQIGmLk+8QDdyBfqfYO1gYEqhTyOgQFcn4ZZDsZwL3BebMQUqQ4EqUKCpyxMv0EauQM8I1toBMwt9GgEFujoJtxyKZRAwMjZjClSGAlWgQFOXJ1agP7j+RLdgdUvUKUpRFOjqJNxyKJargeGxGVOgMhSoAgWaujyxAp0qBBqObb42WhaskYACXZ2EWw7FciNweWzGFKgMBapAgaYuT6xAXxcC3T6/trAOWlOgKmUp0DuAi2IzpkBlKFAFCjR1eWIFOkYIdMP82gxgTwpUpSwF+gBwdmzGFKgMBapAgaYuT6xA7xACrZ8fQ/k9wKJAVcpSoO5/+frGZkyBylCgChRo6vLECvRqIVB866+9BPSiQFXKUqAvAj1iM6ZAZShQBQo0dXliBXo+UAG85689ApxHgaqUpUDfBDrHZkyBylCgChRo6vLECrQ3sAnwvL82EhhKgaqUpUDfBw6JzZgClaFAFSjQ1OWJFWhHYH9gtL92BXAnBapSlgL9DNgnNmMKVIYCVaBAU5cnVqB7AacHXbKntwGepkBVylKg3wC7xmZMgcpQoAoUaOryxAq0LXAzMNBb/tpdWWchBapSlgKtBLaJzZgClaFAFSjQ1OWJFegGaPokcLJY/NT1Z4vJhWskoEBXJ+GWJbHUxRaxGVOgMhSoAgWaujyxAm2ATSYAlm3POKOh68+3iqiRgAJdnYRblsTSDOvHZkyBylCgChRo6vLECfR7YKcvgD3t0WvC9eeEYmokoEBXJ+GWJbGshzVjM6ZAZShQBQo0dXniBPoRsP+8CmxtbwzU7fFZUTUSUKCrk3DLklg2Q73YjClQGQpUgQJNXZ44gb4KdLXXxtqTgS0niwYKVKc8BdoWqIzLmAKVoUAVKNDU5YkT6KPAafbWqLgcON9roEB1ylOguwDfxWVMgcpQoAoUaOryxAl0JHCpvSewPfCC10CB6pSnQPcCvojLmAKVoUAVKNDU5YkT6JXAdbYlxhNpNs9roEB1ylOgBwMfxGVMgcpQoAoUaOryxAn0HPEY58lCoIfmGihQnfIU6FHAW3EZU6AyFKgCBZq6PHECPRF4zr5QCHRYroEC1SlPgR4LvBSXMQUqQ4EqUKCpyxMn0COASfa1QqDv5xooUJ3yFGgf4Km4jClQGQpUgQJNXZ44ge4BfGWPdv25id9AgeqUp0DPBB6Ky5gClaFAFSjQ1OWJE2hrVMyzX3AFepLfQIHqlKdALwTuisuYApWhQBUo0NTliRNoSzT3ZkLCKL+BAtUpT4EOAW6Oy5gClaFAFSjQ1OWJEehCb0ifb4G63/gtFKhOeQr0GmBoXMYUqAwFqkCBpi5PjEC/AXax7UXrYo98CwWqU54CvQUYHJcxBSpDgSpQoKnLEyPQ94GD3Jc3Lpyab6FAdcpToPfmn741QIHKUKAKFGjq8sQI9EXguGgLBapTngJ9BDgjLmMKVIYCVaBAU5cnRqAPaX+EFKhOeQp0LNArLmMKVIYCVaBAU5cnRqB35adDCqBAdcpToK8A3eMypkBlKFAFCrRYVgSscpxVKzTuAYZGW1Y6K/UwHfftiopb6RSO+fveblVxb1elvt1qq59P+M2RxDIRODLuC0eBylCgChRosfwe8Jfj/PW7xs3AddGWP50/9DCdFca30yn+7f4sJu4vp3CMy8qSv130U6y2+vmE3xxJLB8BB8R94ShQGQpUgQJNXZ6YU/grgeujLTyF1ynPU/gvgX/HZUyBylCgChRo6vLECHQQMDLaQoHqlKdAZwE7xWVMgcpQoAoUaOryxAj0AuCeaAsFqlOeAl0AtInLmAKVoUAVKNDU5YkR6FnAg9EWClSnPAVqNwiG0NKgQGUoUAUKNHV5YgR6CjAm2kKB6pSpQJujZVzGFKgMBapAgaYuT4xATwKej7ZQoDplKtBWaBKXMQUqQ4EqUKCpyxMj0O7Aq9EWClSnTAW6JSoWxWRMgcpQoAoUaOryxAj0KODtaAsFqlOmAt0e+DEmYwpUhgJVoEBTlydGoIcEcyHloUB1ylSguwEzYjKmQGUoUAUKNHV5YgS6H/BJtIUC1SlTgbrFm2qboUBlKFAFCjR1eWIEugcwPdpCgeqUqUAPBybHZEyBylCgChRo6vLECHRn4PtoCwWqU6YC7QKMj8mYApWhQBUo0NTliRFoW6Ay2kKB6pSpQE/U+qAFUKAyFKgCBZq6PDEC/QfqKC0UqE6ZCrQf8ERMxhSoDAWqQIGmLk+MQDdCY6WFAtUpU4GeA4yOyZgClaFAFSjQ1OWJEWhLrK20UKA6ZSrQS4DbYjKmQGUoUAUKNHV5YgTaDBsoLRSoTpkK9CrgupiMKVAZClSBAk1dnhiB1sfmSgsFqlOmAr0euDImYwpUhgJVoEBTl8cs0AXAP5UmClSnTAV6O3BJTMYUqAwFqkCBpi6PWaA/ADsqTRSoTpkK9H5gQEzGFKgMBapAgaYuj1mgM4DdlCYKVKdMBfoM0DsmYwpUhgJVoEBTl8cs0M+AfZQmClSnTAX6BnB0TMYUqAwFqkCBpi6PWaAfAgcpTRSoTpkK9GNg/5iMKVAZClSBAk1dHrNAJwJHKk0UqE6ZCvRbYNeYjClQGQpUgQJNXR6zQMcDxyhNFKhOmQp0YR1sFZMxBSpDgSpQoKnLYxboOOB4pYkC1SlTgdprYd2YjClQGQpUgQJNXR6zQJ8C+ihNFKhOuQp0EzSIyZgClaFAFSjQ1OUxC/QR4AyliQLVKVeBbgfMMWdMgcpQoAoUaOrymAU6CjhXaaJAdcpVoHsBX5gzpkBlKFAFCjR1ecwCNTwMSIHqlKtAjwDeMWdMgcpQoAoUaOrymAV6E3C50kSB6pSrQHsAL5ozpkBlKFAFCjR1ecwCHQYMU5ooUJ1yFejpwKPmjClQGQpUgQJNXR6zQIcANylNFKhOuQr0YuB2c8YUqAwFqkCBpi6PWaCGv0AKVKdcBWo4gfChQGUoUAUKNHV5zAI9FxilNFGgOuUq0PgBQSlQGQpUgQJNXR6zQM8AHlGaKFCdchWooRuvDwUqQ4EqUKCpy2MWaB/gKaWJAtUpV4G+CPQwZ0yBylCgChRo6vKYBXo8ME5pokB1ylWgk/TBtHwoUJkaE+h4a56/tOSO3p373rfML9eIs7ueNnyWHBkYa2VcaSnQxJDyFOgxwHiliQLVKVeBfgHsZc6YApWpKYFWDc4LdHFvy+pqWacvFStTu1nWCR2tTuOk0Ictn9lxpaVAE0PKU6BHApOUJgpUp1wF+iOwvTljClSmhgS6aqyVF+hQa8CPVd/1sW5zl/86xRr2i7NstNVpVhg7nAKNpRYL9CBgitJEgeqUq0DtBtjUnDEFKlMjAp1yUx8rL9AlnboscF9mWt3/FOf1vf8SjTdYw8PoczVzqqWlQBNDylOg+wCfK00UqE7ZCnRdrGXOmAKVqRGB3uIdUOYE+oJ1hfc6wJrsOHdZD3srn1qnBcFVx3b8q0BpKdDEkPIU6G7ADKWJAtUpW4FuhToLjRlToDI1ItBFM2fO7O4LdKj1vPf6gHW741xmTfRWZltdguBfrX6FSkuBJoaUp0B3AH5QmihQnbIV6C7Ad8aMKVCZGrsL38MX6IXWR97ra9ZQx5n1de5m/HjrjCBwhnXlpCvPGHL//+JLS4EmhpSnQNsAC5QmClSnbAW6P/CxMWMKVKbGBdrPmu69vmtdFPxs6SnWI8HKBKuTd8Z/3Hv5ltsu8njljzwrHeevPwrwVzEhzspCMX9UFRHiOAVjVlYVDiniU/1ZTIizSl7PWrDUhN8Zo0A3Q321iQLVKVuBdgbeNGZMgcrUuEC7W3O818/Dy56VA6yevwSBj1rWqFnLpg20ui72W3ru4nFb1k2T1UL4nTEKdAM0U5soUJ2yFWhv4BljxhSoTI0LtFsg0D65H/z1RBerx8ww8OXhr4qXlWdaI/0WCrRWEH5njAJdGy3VJgpUp2wFeg4w2pgxBSqzGk7hv/Ze37Uu8F5n97esS03fkgnWmf7SrK88Fv6cx/3ES38uwFLn18Ihzh+FYn5eVUSIU1Uw5vdVhUMc57dCMb8UDnEr+Je8nrVgqQm/M0aBNsZGahMFqlO2Ar0MuNmYMQUqU+MCHWh97L2Ot64WL68cbZ00ocr0C7OtTsqznEFOvImUGFKeN5Hq4h9qEwWqU7YCvQG4wpgxBSpT4wIdauUe23zYexTpLcsausz8C/OtYxWxBjlRoIkhZSnQSqCt2kaB6pStQO8DzjNmTIHK1LhAX8gdeToXWG87zryjrYcVS/7ev3/OqFOsC+NKS4EmhpSlQL8HdlbbKFCdshXok0BfY8YUqEyNC3RJp26uuJz5HcWjnKOtm7XAwdZY73WI/5SSobQUaGJIWQp0OrCn2kaB6pStQMcDxxgzpkBlalyg7jn84GXOkgHWne5yH+u9n3IIqY55dJr772Sr8/iVzk+3WL1+jystBZoYUpYC/QTooLZRoDplK9APgYOMGVOgMjUv0MW9rE79O1riRP0vK0D0aepqPS4C7rasTj0sq+e02NJSoIkhZSnQ94FD1TYKVKdsBToDaGfMmAKVqXmBOktu79Wpz2j3a+xUGgVa9cGgXl3Pv+fX+NJSoIkhZSnQt4Cj1DYKVKdsBbqgAm2MGVOgMpzSQ4ECTV0eo0BfAbqrbRSoTtkK1G6GDYwZU6AyFKgCBZq6PEaBPgecpLZRoDrlK9CN0MiYMQUqQ4EqUKCpy2MU6BjgFLWNAtUpX4FuA1SaMqZAZShQBQo0dXmMAn0QOEtto0B1ylegewJfmTKmQGUoUAUKNHV5jAK9B7hAbaNAdcpXoIcB75oypkBlKFAFCjR1eYwCHQkMUtsoUJ3yFeixwMumjClQGQpUgQJNXR6jQK8HrlLbKFCd8hXoqcDjpowpUBkKVIECTV0eo0CvBoarbRSoTvkK9ELgLlPGFKgMBapAgaYuj1Gg/wFuUdsoUJ3yFajpP4ECClSGAlWgQFOXxyjQgYbjFwpUp3wFarqKLaBAZShQBQo0dXmMAh0A3K+2UaA65SvQh4AzTRlToDIUqAIFmro8RoGabkFQoDrlK9DngRNNGVOgMhSoAgWaujxGgfYCxqptFKjO3y7QqoDISlXVZ0CXKhOOsVWLKjKsyDcrKq7YqNKmpr27DAWqQ4FGy2MU6LHAS2obBarztwt0ecBK9+8jXFv+HbDvcgN/RqLicA/z/ioibHmRUc6qYsJWFhflFPkJMn1OZfdSoDoUaLQ8RoF2Bt5U2yhQnb9doOGWlVPbucC2pox5Ci/DU3gFCjR1eYwCPRyYrLZRoDrlK1C7MVqZMqZAZShQBQo0dXmMAt0f+Fhto0B1yligrdDYlDEFKkOBKlCgqctjFGh7YJraRoHqlLFAtwHmGjKmQGUoUAUKNHV5jALdFfhObaNAdcpYoO5/A78wZEyBylCgChRo6vIYBbqd4fCFAtUpY4EeCUw0ZEyBylCgChRo6vIYBbo1KhapbRSoThkL9ETgeUPGFKgMBapAgaYuj1Ggm6ChlioFqlPGAj3b8DSuTYFGoUAVKNDU5TEKdF2spaVKgeqUsUD/A9xsyJgClaFAFSjQ1OUxCnRNrKelSoHqlLFAbwKGGDKmQGUoUAUKNHV5jAJtgE20VClQnTIW6GjgHEPGFKgMBapAgaYuj0mgiyqwtZYqBaqTUqCDjJSmjKpYngVOMmRMgcpQoAoUaOrymAQ6B9hOS5UC1UkpUBgpTRlVsbwNWIaMKVAZClSBAk1dHpNAvwV21VKlQHVSCrSlT33hzboNxL/bde9emjKqYvkM2NuQMQUqQ4EqUKCpy2MS6DSgvZYqBaqT7Rro043wr8dnrVj549g90eiZEpVRFYvxLIICjUKBKlCgqctjEujHwP5aqhSoTiaBTm+IC/2Re6suQ+MvS1NGTSyNsJEhYwpUhgJVoEBTl8ck0MnAEVqqFKhOJoH2QftV+eVVe6NXacqoiWVDNDFkTIHKUKAKFGjq8pgE+iZwtJYqBaqTSaCb4upwZSg2Kk0ZNbG0BSr1jClQGQpUgQJNXR6TQF8CjtNSpUB1Mgm0Pu4LV+5B/dKUURPLvw1DElKgUShQBQo0dXlMAh0L9NZSpUB1Mgm0JU4PV/ph/dKUURPLEcAkPWMKVIYCVaBAU5fHJNDHgNO0VClQnUwCPRDNv8kvz1gTh5WmjJpYTgBe0DOmQGUoUAUKNHV5TAI1PgZIgepkEujDQJv3covvtQaeKE0ZNbGcBTygZ0yBylCgChRo6vKYBHonMFBLlQLVySTQVQcBOHDQqFGDDnQXDlfnIs9YRk0sg4EResYUqAwFqkCBpi6PSaAjgP9oqVKgOtk60i89KnyO85hlJSqjJpYbgcv1jClQGQpUgQJNXR6TQK8FrtZSpUB1Mo7GVPX84Ru48qzYpPOrJSujJhbzcEwUqAwFqkCBpi6PSaBXAtdrqVKgOtUYzm7pp1//UcoyamIZC/TUM6ZAZShQBQo0dXlMAh0E3KqlSoHqVGc80BWrCsekKKMmlreAjnrGFKgMBapAgaYuj0mg/YGHtFQpUJ2sAn31pM2bYI7z1h2LS1ZGTSyfAvvoGVOgMhSoAgWaujwmgR4HvKilSoHqZBPoHz28+0dznNFocG+pyqiJ5Udgez1jClSGAlWgQFOXxyTQw4B3tVQpUJ1MAq3qDbToLAT6bAVwVYnKqIulITbWM6ZAZShQBQo0dXlMAt0dmK6lSoHqZBLoO8Ch/3OEQJ0Ze6L+zNKUURfLBmiqZ0yBylCgChRo6vKYBNoaFfO0VClQnUwCPQHrLXFyAnV+2xSnlqaMuliMwzFRoDIUqAIFmro8JoGuizX1VClQnUwCbYOLnLxAnauxW2nKqItlT+BLLWMKVIYCVaBAU5fHJNAG2ExPlQLVySTQRnjICQT6JNYsTRl1sRwOvKNlTIHKUKAKFGjq8hgE+j2wk54qBaqTSaBr4U4nEOgtNSfQ44FxWsYUqAwFqkCBpi6PQaAfAx30VClQnUwC3QV9nUCgXbBjacqoi+VM4EEtYwpUhgJVoEBTl8cg0NeBLnqqFKhOJoFeifrf5AX6FHBxacqoi2UQcIuWMQUqQ4EqUKCpy2MQ6Bigr54qBaqTSaA/r4NWr68SAp1zRj00mVeaMupiuQG4QsuYApWhQBUo0NTlMQj0LuBCPVUKVCfbk0gTGwPrADuuLUZkerJEZdTFMgo4V8uYApWhQBUo0NTlMQj0GmConioFqpPxWfgvdssPB/qPN0tVRl0szwC9tIwpUBkKVIECTV0eg0AvAu7QU6VAdbIOJlI1edBh7XY+4OwXVpasjLpYJgBHaRlToDIUqAIFmro8BoH2A57QU6VAdaoznF2Jy6iL5TOgvZYxBSpDgSpQoKnLYxBoV+BVPVUKVKesBbqgHjbXMqZAZShQBQo0dXkMAj0AmKKnSoHqlLVA7Y3QYKGaMQUqQ4EqUKCpy2MQ6C7Ad3qqFKhOSoGONFKaMhrEshswTc2YApWhQBUo0NTlMQh0C9TVjlwoUBMpBQojpSmjQSxHA6+oGVOgMhSoAgWaujwGgTZHC0OqFKhOeQv0bOA+NWMKVIYCVaBAU5dHF+jCOtjKkCoFqlPe10CvMTyKRIHKUKAKFGjq8ugCnQG0M6RKgeqUt0AfBvqpGVOgMhSoAgWaujy6QN8HDjakSoHqZBfoytlvPvPWohKW0SCWt4Aj1YwpUBkKVIECTV0eXaAvAccaUqVAdTIKdOXo3et7lz93uHNFqcpoEMs3hnFdKVAZClSBAk1dHl2gjwKnG1KlQHWyCdRuH95B2m1hicpoEkszrKM2UaAyFKgCBZq6PLpAbwUuNaRKgepkEuiKdkDd40Y8//KtJ9UDdq3WMWi4ZZNY2qBijtJEgcpQoAoUaOry6AK9CrjOkCoFqpNJoHcC7b7NLc7cDbirNGU0iWV/4H2liQKVoUAVKNDU5dEFeh5wryFVClQnk0D3xgbBIMqV62Of0pTRJJaTgKeUJgpUhgJVoEBTl0cXaG/gaUOqFKhOJoGujbPDlTPRsjRlNInlEmCE0kSBylCgChRo6vLoAu0ETDCkSoHqZBJoQ4wOV0ahYWnKaBLLrcBApYkClaFAFSjQ1OXRBbov8IkhVQpUJ5NAt8Zl4crlxzWiegAAIABJREFU2Ko0ZTSJ5VngeKWJApWhQBUo0NTl0QW6PfCDIVUKVCeTQC/CDn/kl1e0w4DSlNEklinAfkoTBSpDgSpQoKnLowt0EzQwpUqB6mQS6KJWOPb33OKKs7D2/NKU0SSWSn1UAwpUhgJVoEBzjLfkyXIruwyOL48u0KbYwJQqBaqTrSP9J5thg6Fvzpo3+Y6t0fS1pTmyFTrcslEs66PRomgLBSpDgSpQoB5Vg2WBVl1spRFoJdDWlCoFqpNJoG3abFiyQe3CLRvFsgvwdbSFApWhQBUoUMGqsZYs0JesVAKdBvzblCoFqpNJoKUcFTTcslEsHYHXoy0UqAwFqkCBOs6Um/pYskDtbukEOskwho+AAtXJJNB7jGQrdrhlo1jOAB6ItlCgMhSoAgXqOLdYlizQqiusm1MJ9HngBFOqFKhOeY8HattXA0OjLRSoTDUF+tPTt3/4V42XlgJNDCm5QBfNnDmzeyjQCdZ176QS6P3A2aZUKVCdcheoW8v+0RYKVCarQF84eaD770etAOxcWdOlpUATQ2rkLnyPQKBLevRYkk6gNwOXmVKlQHUyCvSPaS++EFKdQodbNoplPHBUtIUClcko0HPc3er+4W7jXbxuXc0hXQuWlgJNDKlhgQ63JjiyQJf94vHH4gBXoL8tlhgC3LzYwC/OElOziivQpcXE/er8VEyYu59/LSZuqfO/YsLcL+MvxcT95hQTtdj9a/450lBUde5qvnomlbPt6cCu0RYKVCabQN8G6p/jOM8DV06/DHiiOgUsorQUaGJIzQr0A2tIVUSgPXfxuC3+dy8CxpYoDWLixdU1K6dtL2qEDaMtFKhMNoEehfVmuC+9sclKxzkER1angEWUlgJNDKlRgf7Ws+tCJ6VATwHeKlEaxMQ+QL83ZnwbUJ33Cr85ZrFsgTrzIg0UqEw2gbbBEPGyCcSf1a3YpjoFLKK0FGhiSI0KdKT1vBMV6JATPJ5YEbDKcVatkOgOTFlhYKWz0tSs4r5dUXErnWKi/q63W1Xc21Wpb1dMcdZD/xKVubBA9wKmRhooUJlsAm2Mx91/fwDedF/GomnJqmkuLQWaGFKTAp1hne8aw0l3E+kIYLIpVd5E0sl0E6mR94dXGsItm8Xi/tfwxUgDBSqTTaAbeuMR3oX67nfdeQRrl6ya5tJSoIkhNSnQiVaIcqYYblIV6AHAR6ZUKVCdTAJtjXElKnNhgZ4L3B1poEBlsgm0Pfq6/+6GQ8TKBdixZNWMsDTPX46zfGkBljvLCoc4fxWKWbqqcEiVU1Uw5s8iQlyfF4pZVviDu7pZIa+XaOf7An3vRI/uVqcTT5wZjQi/M6pA9wY+N33ZKFCdTAK9BL1KVObCAr0eGBJpoEBlsgn0MjR4esUY4A53eUpzdC9ZNUm50CMyGlO6U/jdgBmmLxsFqpNJoL9sgZtWlajQ4ZbNYnkM6BtpoEBlsgn0f2sCdYH1lzhL93Nf3ytRLRWCrnHul6xgB8IlhUN+cQ/5CvbLW1k4xD2FLxizvIiQIvon/ly4z+HP7im8vF6inV8dge4EzDJ92ShQnWwd6We3ws4Db7sjT3UKHW7ZLJaJwOGRBgpUJmNH+rfXAdyjUHf3u69nVqd+xZSW10ATQ2q4I70gnUDbApWmVClQnUwCrRq42vqB2t8BO0YaKFCZrI9yzrvvzCunid2/0ZFjqlO+okpLgSaGlJ1At0SFMghvDgpUJ9toTKuvI71tN8M6kXUKVIajMSlQoKnLowk0ZkYPCtRAJoHujHpXzVj2e0BpyhgjltaomCuvU6AyFKgCBZq6PJpA18MaxlQpUJ1MAm2CQTVQxhixdACmyOsUqExWgVbNfOXlkJJV01xaCjQxpOwE2hwtjalSoDqZBNoME2ugjDFiOR54Vl6nQGUyCnTyFiW7BlNEaSnQxJCyE2hjtDKmSoHqZBJouxIO1hJuOUYsA4Hb5HUKVCabQGc2KN1F7CJKS4EmhpSdQOtic2OqFKhOJoHejS5VpS9jjFhGAIPkdQpUJptATwI6vvjl9IBSFTOmtBRoYki5CXQB8E9jqhSoTiaBruqMi6p158hYxhixPAn0ktcpUJmsozEdUbL/AhZRWgo0MaTcBPojsIMxVQpUJ5NAxz65DTbpccmgPKUpY4xY3gUOktcpUJlsAm2IZ6tTsyIJcqJAE0PKTaDfAu2MqVKgOiWZ1rg0ZYwRyw/ANvI6BSqTTaAbYFJ1alYkQU4UaGJINQRanUkBw00qAv0SaG9MlQLVySTQlgoZK6iUMU4szdFcXqVAZbKOSD+iOjUrkiAnCjQxJItASzApYLhJRaBTgQ7GVClQnXKfldNlG2C2tEqBymScE6liy59WY2kp0MSQDAItxaSA4SYVgb4PHGpMlQLVqQUCPQh4V1qlQGUy9gO9GXt+svpKS4EmhqQXaEkmBQw3qQh0ItDRmCoFqlN9gdpHXZCpfloZ48TSC3hSWqVAZbIJdOzYU4H2Jw+5yqc6BSyitBRoYkh6gZZkUsBwk4pAxwNdjalSoDrVF+gY1PA10EHACGmVApXJJtBS3gUsorQUaGJIeoGWZFLAcJOKQF8EjjemSoHqZBPoiuuPbOOzJbBBpvppZYwTy23AQGmVApXJJtCmCtUpYBGlpUATQ9ILtCSTAoabVAT6DHCyMVUKVCeTQFceGjl+qdYd3XDLcWJ5NvofRApUhqMxKfy/EGhJJgUMN6kI9HHgNGOqFKhOJoG6/4na6KTOwOGnHr8x8Fim8ulljBPLh9FeFRSoDAWq8P9CoCWZFDDcpCLQ+4EBxlQpUJ1MAj0cmy12nJ7iQsyqs3B4tZ4KDLccJ5bKCrSWVilQmRIItJp3ARPeOA8FmhiSXqAlmRQw3KQi0LuBC42pUqA6Gac1vtz993Ec7P5btSvGZ6qfVsZYsbSMjO9KgcqUQKDVvAsYT5ATBZoYkl6gJZkUMNykItCRyvA9ARSoTsYBlR91/52DzcTKgzghU/20MsaKZbtIT3oKVCajQEt4F7CI0lKgiSEZOtKXYlLAcJOKQG8ArjSmSoHqZBLomp5AVzWqcPe882nOo1kJtxwrlgOBD8I1ClQmm0BLeRewiNJSoIkhWR7lLMGkgOEmFYEOA64xpkqB6mQS6Da4Qrxsi3cc0ZmiYcYKKmWMFcsJwHPhGgUqk02gpbwLWERpKdDEkHIbjely4CZjqhSoTiaBHoONF7svR3tTI72JjUtTxlixnA/cFa5RoDLZBFrKu4BFlJYCTQwpN4FeqswBEUCB6mQS6ERg0/84zm1Ye5qz7AB0KE0ZY8UyHLgiXKNAZbIJtJR3AYsoLQWaGJJGoIOMVK88qkDdA5Z7jalSoDqZBFrVxXv8b/FaqNt2TXhPRWQm3HKsWB4EzgjXKFCZbAIt5V3AIkpLgSaGpBGo+hBuNR7FDTepCPQs4EFjqhSoTrZHOf+87t/iwucTdUX1uq1Sfhp8hVdKjUvu6N25733LEsoYK5bXgKPDNQpUJptAS3kXMJ4gJwo0MSSNQPND8NYXf3l1vbkBt+te4n6g/YAnjKlSoDqZBxP5U/zzyWkH9XlUu4L2sOUzO2xb3NuyulrW6Uvjyxgrls8jI2RToDLZBFrKu4DxBDlRoIkhGa6BPt0I/3p81oqVP47dE42eqWZ5VIH2AsYaU6VAdWpiPNDhBoEOtQb8WPVdH+u2+DLGimVBXWwZrlGgMtkEWsq7gPEEOVGgiSHpBTq9IS70j1uqLkPjL6tXHlWgxwEvGVOlQHVqQqDnyubMsaRTlwXuy0yr+5+xZYwXy/poGq5QoDLZBFrKu4DxBDlRoIkh6QXaB+2D62ar9kav6pVHFWgX4HVjqhSoTvUEapzTqurYjlrbC5Z3zugMsCbHljFeLDsA3wcrFKhMNoGW8i5gPEFOFGhiSHqBboqrw5Wh2Kh65VEFeiQw0ZgqBaqTUaBJc1r9avXT4odaz3uvD1i3x5YxXiwHy5N6UKAyGR/lTL4LWCKCnCjQxJD0Aq2P+8KVe1C/euVRBer+uX1oTJUC1ckm0MQ5rWZYV0668owh9/9ParvQ+sh7fc0aGlvGeLGcBDwTrFCgMtkHE0m4C1gigpwo0MSQ9AJtidPDlX5Yv3rlUQW6H/CpMVUKVCeTQJPntJpgdfJuIR0nDRLTz5ruvb5rXRRbxnixXAjcEaxQoDIcD1Th/4VAD0Tzb/LLM9bEYdUrjyrQPYHpxlQpUJ1MAk2e0+pRyxo1a9m0gVbXxUFbd2uO9/q5dZrfcnoHj3uqAtzGKjN3AtdKcTFRUWLfTAkr8s2Kiis2qrSpae8ukyjQFTV07u4jf2cp0PiQ9AJ9GGjjH56817rks3LuAsw0pkqB6mQSaPKcVi8Pf1W8rDzTGhm0dQsE2sdv6bmLh9atycQLwLnFxBGNWIG+etLmTTDHeeuOxXER1Ub+zlKg8SHpBbrqIAAHDho1atCB7kLGsQzCTSoC3Q6Ya0yVAtXJJNDi5rSaYIUDFfazvvZe37Xyo59f0NHjwZUB7tdgpZkpQLdgZZWzKiZMxj22KiZspVNVVFRxYVXFRcV+zggZP6dShBiB/tHDu3w9xxmNBvcWU/IsyN9ZCjQ+JENH+qVHhc9xHqM/3peuPKpA3WPahcZUKVCdTAItbk6r2Van4M95oPWx9zreulqJCrccf21wGrBHsMJroDIZuzH1Blp0FgJ9tgKooWnhKdAaHI2p6vnDN3DlWbFJ51erXR5VoJuhvjlVClQnk0CLm9NqvnVscG4x1BrnvT6sPYoUbjleLAvrYfNghQKVySbQd4BD/+cIgToz9kT9mcUUPT1BThRoYkjW4eyWfvr1H6UojyrQDeXnVmQoUJ1MAk2c0+r3/v1z5xRTrAuDxhf8I88LrLdjy5gglg3RKFimQGWyCfQErLfEyQnU+W1TnFpM0dMT5ESBJoaU23igLdDCnCoFqpNJoMlzWg22xnqvQ6yHg7Ylnbq5X39nfsdMj3LaOwPf5ZcpUJlsAm0D0ZssJ1DnauxWTNHTE+REgSaGVEOgxkcB05ZHFWgzbGBOlQLVydaRPnFOq8lW5/ErnZ9usXq5uTpjHhVTt7jn8IOXOUsGWHfGlzFBLIcB7+SXKVCZbAJthIecQKBPYs2iip6aICcKNDEki0CTHgVMWx5VoPWxqTlVClQn46OciXNa3W1ZnXpYVk/PnF0t70nrxb2sTv07Wv21O4bhlhPE0ht4Kr9MgcpkE+haEP8h8wV6CwWqU+YCTXwUMG15FIEuArY2p0qB6pRqNKavm4ajElZ9MKhX1/Pv+dVb8QXqLLm9V6c+o5cnlDFBLBcDt+aXKVCZbALdxbsL6Au0S9xdwOoS5ESBJoakF2jyo4Bpy6MIdC6wrTlVClSnVAKdjiez/WK45QSx3AQMzi9ToDLZBHol6n+TF+hTwMXZSld0aSnQxJD0Ak1+FDBteRSBzgT+ZU6VAtWpHQJ9DDglv0yBymQT6M/roNXrq4RA55xRD03mZStd0aWlQBND0gs0+VHAtOVRBDpd7nUdgQLVqR0CnQBY+WUKVCbjYCITGwPrADuuLTpjZ6xc8aWlQBND0gu0uEcBiy2PItBPgX3NqVKgOrVDoO5/FNvllylQmayjMX2xW/5JwH+8ma1wKUpLgSaGpBdocY8CFlseRaAfAgeZU6VAdWqHQBc1CHtWUKAymYezq5o86LB2Ox9w9gvq0/OlI8iJAk0MSS/Q4h4FLLY8ikAnAUeaU6VAdWqHQO2N0XCRv0iBynA8UIX/FwJNfBQwdXkUgb4RmUVchgLVqSUC3QP4zF+kQGUoUIX/FwJNfhQwbXkUgb4EHGtOlQLVqSUCPS6cqpoClckq0D+mvfhCSLbSFV1aCjQxJENH+sRHAdOWRxHos0BPc6oUqE4tEegg4AZ/kQKVySjQu5pDJlvpii4tBZoYkuVRzsRHAVOWRxHoGKnPYBQKVKeWCHQ00N9fpEBlsgn0RYACTaTcBaohPwqYsjyKQB8CzjKnSoHq1BKBvg0c5i9SoDLZBLoP0O+NGd8GZCtd0aWlQBNDSiLQ9H+A4SajAr0PON+cKgWqU0sEOqcOWvuLFKhMNoGuh/7ZqpWKICdFoLO/NXwQCtQn484unUBvBy41p0qB6tQSgdqt0GBBbokClck6nF2N9Z6XCHKKCnRq8wYv6R+EAvXJuLNLJ9CbgcvNqVKgOrVFoHsBH+eWKFCZbAJtjXHZqpWKIKeoQEcC5+gfhAL1ybizSyfQa4Fh5lQpUJ3aItCewJjcEgUqk02gl6BXtmqlIsgpKtArjP0MKVCfjDu7dAK9KuzxokCB6tQWgbp/ddfklihQmWwC/WUL3LQqW72ylDYq0HOADvoHoUB9Mu7s0gl0MDDSnCoFqlMqgVYe/0G2Xwy3nCiWh4B+uSUKVCZjP9DZrbDzwNvuyJOtdEWXNirQk4C2+gehQH0y7uzSCXQgcLc5VQpUp3oCrc6cVloZE8UyGTggt0SBymScF37g39gP9EiYZn2kQH0y7uzSCdQ9Q7jfnCoFqpNRoCWY00orY6JYKutii9wSBSqTTaD3/J0d6dsDFXO1D0KB+mTc2aUT6OnAY+ZUKVCdbAItxZxWWhmTxbIp6lV6CxSoTDaB7ox6V81Y9ntAdQpYRGmjAm3rfmemah+EAvXJuLNLJ9A+wNPmVClQnUwCLcmcVloZk8XSAXjfW6BAZbIJtAkGVadmRRLkFBXoBq5A9Y6gFKhPxp1dOoEeD4wzp0qB6mQSaEnmtNLKmCyWvsCj3gIFKpNNoM0wsTo1K5Igp5xAH9r/AW+toSvQ0doHoUB9Mu7s0gm0K/CaOVUKVCeTQEsyp5VWxmSxDAWu8hYoUJlsAm2HsdWpWZEEOeUEujHW/MFd+UFc9tF7alOgPhl3dukE2hF425wqBaqTSaAlmdNKK2OyWB4HensLFKhMNoHejS5V1SlaytLmBNoIuNFd+UQIVH8UiQL1ybizSyfQQ4H3zKlSoDqZBFqSOa20MiaLZUp+rkAKVCabQFd1xkU1dOfIVFpPoJWuN7d1V94UAtUfRaJAfTLu7NIJtIPpHp8HBaqTSaAlmdNKK2OyWBY0wCbeAgUqk02gY5/cBpv0uGRQnuoUsIjSegKdIcT5sm0/JV730z4IBeqTcWeXTqDtgWnmVClQnUwCLcmcVloZC4hlK9SZI14pUJlsAsXf0A90ithQd9v2+qDqjyJRoD7J+3TIgLnuvwMGaHOppn8UMNxkVKDtgG/MqVKgOpkEWpI5rbQyFhDLIcBb4pUClckm0JYK1SlgEaX1BOqdujf4Wgz2A6ytfRAK1Cd5nzbCeEf8B7Bafa+V8igC3QH4wZwqBaqTrSN9Kea00spYQCxn+o/oUqAytWdWzue8Y93L7UvEi/4o0pIVN+t9m5QQCtTZEMf+smIF8PsKmeqVRxHoP4H55lQpUJ2Mj3KWYE4rrYwFxHILcIF4pUBlSibQ9HPqFCTIyRPow8DuQDv7VKBeMLhryJLbTN3royEUqNNDvfqS/RJMuMmoQLdAnZhUKVCdUo3GlJlwywXE8jLQUbxSoDIlE2jm8QjjCXLyBHoHMLAp1rW7AVsDL6ofZMkpwK3ax3tbvh9MgTrOj9vUuEA3QqOYVClQndoj0O8rcrceKFCZ2iPQa4H/tkXFDwe6/yEERqkfZMmBhu71d1U0miKFUKDuHnjt9pEjgZtHylSvPIpA18FaMalSoDoZBfrHtBdfCMlUP62MhcSyARqIazMUqEztEehgYMQhwKRdgIuBoeoHWbIlcInS9t06kbF9KdA8NXoTaU2sF5MqBaqTTaB3NS9ZL5hwy4XEsm9uOBEKVKb2CPQcYHRf4JHNUW8UMED9IP+rD/RX2tyz+tx17xwUaJ5hw0own0C4yahAG/odrnUoUJ1MAn2xhN0Iwy0XEov71ydGo6BAZWqPQE8GnrzKPU1fCy1f8jqERvnc/R6dGG2a5DoVXcN1CrRmyqMItA62jEmVAtXJJNB9gH5vzPg2oDRlLCSW4cAgmwKNUnsE2hV49QGgbwW2npp/LFfiBVeWR0Wb2ov/OLcL1ylQiSW3HdNmvRZbHXXLz9UuT1Sg84wzrnhQoDqZBLoe+metWkIZC4nlWaCbTYFGqT0CPRR4921gN/d/lRVoE/zwqdM/ES+3urLcP/JJxgDrNca6YQMFGlB1V7P86V+zuzOOCxNuMiLQ2cBOMalSoDqZBNrIG4apNIRbLiSW6bnKUqAytUeg7vHkF7OAJsChdgs0z//sh0buusuF0aNNl/7AteK2fdBQSKCX1e/7/0WgQ929teauxxy7+1ruwvXVLE9UoDPc/8LFpEqB6mQSaGuMy1azxDIWFEsLNFlEgUapPQLdHpjtltDlODGrxxz/Z6+6x1Cic0U39wdtIp/EPVb9wD1snRg0FBLoBqg7pwYF+uPC6PrfKNDP66DlCDEUmrN8REvU/bp65YkK9Atg75hUKVCdTAK9BL0ylSy5jAXF4v5FfUKBRqk9At0cdRfZOwuB9hcjpn3k/+wWt+F193V393VD+YNUNkTLRacCDwYtBQT6jfdOWQS68KXv1RhdoKPqb1sZafgbBdoP9SfnlyfVwxnVK09UoB8H899qUKA6mQT6yxa4qQT9KJQyFhTLicAYCjRK7RFoS3Ha3lEIdLB9XDjtzhluw9V2bqakpvIHeRk4xB6Wn4dAUECg4jbUyDiBLhzcL5CkJtDTsPkMb2HuV/kmXaDtgIciDX+jQLfGyeFKH7SuXnmiAn0XODwmVQpUJ1s/0NmtsPPA2+7Ik6l+WhkLiuUq76+JApWpPQL1xnM9Swj0Rvs84Cb/Z/vDe0R3ToUYYkQexOIqYdpHgb5BSwGBDvcObmMEeorU9VQV6KymQPt57sKPm1Xc47dpAv2yDnBCpOVvFGgT3BWu3IMm1StPVKBvAZ1iUqVAdTIJtGrg39EP1H7C6ylIgcrUmEDHW/P8pSV39O7c975lhhVTgKm0QqBzvd4x14mvy2hRyfb+zzZyG9a37Xe8L9IM6YO4B6vP2ZOBA4OWAgLt475BB0+gX44efNw58+SfDXF/tm6+JSfQBy/61l+/UWxaePrB8OxVCPS1G74I30EErRe5Cur+Yc8fpo9/UnnnO+FKDQm0Me4MV+4trUBfMXTS9aFAdTIJ9J6/pSO9PRXYnQKNUlMCrRqcF+ji3pbV1bJOX6qtOIYAY2mFQKd7xRsjvi7P2gvWR53cMCHfiyNPTBGHmggvjApaof6P9tw62CpoKSDQf3tXUV2BfuJ18bld+tEd3lbyz98/f8gTtv1RXZzir//L2/YI2+7nudxj2cKzNo305zlIxLwib8/9w+6JBu+rafRG0/yA7nP2/cfUGhHoVugdrvQt7Sn889oDDQEUqE4mge6MelfNWPZ7QKb6aWUsKJZFTdGCAo1SQwJdNdbKC3SoNeDHqu/6WLdpK44hwFhaIdAPvWPJ94WGJnqDu17s/eglT14jxcVOlzfDz/FJTl+t0CA47CsgUO8O/zeuQG/13qtH+JMZjYF/icNTj0lNsNZc+0pgh9z628Bm/wFazLPFSEf+VdAl7cR71M33FbBni8mYo3PhLXcWNgKOULL4rEH4SOpI4N/5v/1vRsgDS33bPxg4JYtAT0W9t/PL79THacUW2VyeqECflK+aRKFAdTIJtAlKN4tOuOXCYtkRmE6BRqgRgU65qY+VF+iSTl0WuC8zre5/Kis+pjaltEKgrwOd3fPbOq6G3BPjicAWi8SPbgK2FYc8pwPriGPTgHtyf8d7Ap/mm4RAJ91w6oEH97x4gr4nvvK0+bwrUNfOPSvk5xFHAfvPXRd1vEFIf/wnxDPB7hs3zF1y7Qtcuqg9MGaGOE4dk/sVcZGqsWT00cDOyiM6y50rxBbH2RH6iZth/pQY+7rLj9k/DHIPhufvhHWnBEHz24vrEx5zsgj0yzpY+8bfxNKym1uizpfFFtlcnqhAHwHO0PeuXwAKVCWTQJthYqaSJZexsFiOBZ6mQCOkFWhRc+rcYlmBQF+wrvBeB1iTlRUfU5tSWiHQsa7VbHFECYjeQDv65jkVGF6B1vYRwH5ylyUhortsr+TP5Ztcgb5eN3fRqIk+a8/TgGvna1yBHuAe5LZGxfTgR6eJE/qz/APIE8Tvd5lRD34X07nNUe9zcYnzpNHiJ/9xD34/scfVRcUT50jXAboBd7eOjgO9/A/RcwC7LpKzmN5YtF3oLX8hkt3mh72A6+xB7uIWQUZilJTcxKTd6l6WpSO9uJa8xq5duuy6hrtwbVG/ohFuMiLQ0aZJp/MFoEBVMgm0HcZmq1liGQuLxT3tuoICjZBWoEXNqbNo5syZ3X2BDrWe914fsG5XVnxMbUpphUAfBM50F/fwOysN8+9pdwDe3RIVM7YDzvJHVP5ixNe2d2FSnPNeDNySfxtXoIfkL7vfq+2JoYB7XNfLFejGqF95InB/8KNdxNXVDyqwvnvIeR/QoCGa3SDe5A7xwztEdyl7el2s20u0dbafqYst1wdOs+8M79zPXxsNZp6V63CVZ/n9wB4bA/e5y7Mn+Rp1pbt7BdaeJZav9DLdwv1//eu9KwA7us0/7LdVz/PESjPxiNWnrvXfzvIs/Kg18ntijXtK+yin+6kvivmyUaA6mQR6N7pkLFpSGQuL5RnxNDwFKpNWoEXPqdPDF+iF1kfe62vWUGXFx9SmlFYI9NbccJ/dkRssbUYDrCkuMG6IBvN7uIeea6LlNf6Iym2x3Tx7Tn38X3vnHSBFef//99EUFFHs2DVRscQYYokmJsZo1DAUKSIQRUEsoKjYMaISMTExKgooFuQrEsGCP7GjoigaxBbFACqKIvUQsSD95jdl99mdfWaeffbZZ4+54/36g93Ze9/M5+69++K2zMxO/oKnt0uyq1nhflSFlqNfn+b9OXe69JvwlOn9XXbE+h/nVmF//+UQq4FIAAAgAElEQVRH8UR0fpPgvaHf+O//L/F89o+OwesFodF9pfuf7zw6eMpehZ9Wdwy8dPAC/wM9f8ysYoL/CurTwK/zNvij95z+oeFAq3erZ+yGX06q/uShW4ZuhQZvnAScdNaZL/v7XvXPvdN6fMvg81rXhkvbhn/d3upd3fNbk4OJfDui8/477rh/5+ErNL9BIrfJiECHBX+Fx0KByhgJdENHXFHWO0exNRYXyxzvGREFGqFUgWqfUycr0L7OrODyDeeKgoUM8m3jhwWMHJjl8iuuuPT3noK8q78Cdghu2wc4beDAfsD2A08APLns5HnnaO8LZ3jzHDPwGOCnfuw0oPW5x54ZfMulV3hP/I/0rpwHbD2wkFZA382w2RWXed+y38CzgJ2zXzk1XFdbYJeBnbztX+74P3OVp65wc80v9i79z6Oi5dao6reZ/6VGZw0cOKAKLcI1dPb+gDxu4MWeYX92UXatvb2/a7e55BLvb9WtOgVv+28dvNWPfQf2CC6beGvcZqD3LL/Bn3b2Xxftd1pj7///C5uGofbh1vf1Fw66PP/neMvscVT6Oa1y95mIQL3/hf6acGejQGWMBDrxkQOwW/erBmUx6DumRg2x7IJGX1Gg+ZQqUO1z6mQFeqozP7j8wDm3YCGDfNsZbQJ6xLqaFOFes8dR6TtC5O4zEYHeCNyccGejQGWMBFrYuUHfMTVqiOWPwEsUaD4lvwuve06drEC7Cj/2LljIIN9GgZbDxhbotcFHYmOhQGWMBLptAQZ9x9SoIZaBXrkUaD5mH2PSOKdO7il8eKyfN5xLCxYyyLdNnxzwwpgs/54w4cHjgCu8q/e0anhBcNsV3lP6MWOOBwb4t57UoOqaIcARY8bcXoVtmnke2fme8Ht3C6zS8G/e1XtboOrG4EbvfnDkmFvOHDImx0B/fX8Geow7EPj7mDHdgU6ZL22JJvf5l3cFT59PGjN+wgDvGfwdxwCXjTk92KhPN/+2i/1E1bAxYx4a793kPc8++1/+YfFx5H1h6HJxGE60aHv7hLH+bf/YFjvf7v0Mt4/J555DgX3GPBhGMvTzv+/A8Pr1wC5jOgCnjbl/wr/zv/GzUh49OawJ9MrMm2sxUKAydeesnD6jvXs0BZqPmUA1zqmTFejlzjvB5WTnxoKFDHG3FVTrv4nUCXjBv744c3zPt4IPtnsSmx4u/sd9Nzii8i1An78DTbKfwGwL/KJbsIvl0o5iT8t5jbH9/3YC9rpwUnb3+ev8E9VNBHr+uD02X1xd/YI4PvMbnv/Ca+d6/mowo3qD+92W+JX/tv3g6v2BJ8Mvvg3sX/1fX3H+YUmDfeFHAf09nzT6/SjxUaX3/zX+v18+ceU5d76+RDywZ4/8NKaZRecc9HTBrpxLD0fuhM77Af9sA7xm6ZQe1gR6ccwpUzNQoDJ1S6Bv+bt2UKB5WPsgfSHdxceYwmO/jvX3NIosZIi7raBaX6AnhKcEFCxogJ9WV+8QyM5nhftpoK4/AI8u+WOT7LFGqp/av8sXn7T0/yryVLbZG5lbjwBah38Ibt0l3HeoHfC4/y7jPl+Euxgtaoatvgy+cjtwYfhd7zYKdofa4NY8cc4M/wwHnR/N+3D8Bfs8EO7OdG11RqBTvfhPwqPtxWBwMJHnGuTOZXIX0KwhWtk6J5I1gXp/Jo9N+GkoUJlyBLrOxiHtclvWEMvS5mi+ggLNw1igxc6p0118kD78w/JS59WChQxxtxVU6wv0V8BHkUF3wuZLP/ae0WYWV7hL/SMqz9sMLSKHAQnwD7S0VwNgdHZXTv/49djq4EChB/p//z1ehSYfV1cfBJwfnvnF/9RS0xP9/Yq654zQwd8zKHs0pk+8de5Z+I6Jv/PQm9UZgS5ohM38D37EY3I0puE9cjt0Bof265E6gfYRe2NJUKAypgJ9/vQ9m2G++8rIZaU2nVijjli8vzw+oEDzMBRo8XPqdBe7cnb1P2m4qF24K2feQoa42wqq9QV6IPBlZNDDgP89HezfGeA9OJthZ/9FmlPkn3LxIcGol4h94Z/yF++rfvvGYz3DHTG/+vPdwhMg3xXsjuT/CVkd7GfZcHj1F3ugKnuUp/fbXbI0dzi7Xf3E/tGjJPeH/4dx9nB2waeMBif86ss9nN3HOwc/Q9oEerp4UUOCApUxE+jq8OOE893RaGL4rqFco45YvP8ex1KgeRgKtPg5dbrnDiZyzUp3xQDnLmlhwriZ0m2x1foC3R2No5OfAjx/W26vF+/BuRO28D9oPyrmx/zsxgOA49YLgS7cAugVXJvs/U9wzD3etx3k/+G6aA//fvlv/wtL7mrrhRoOPiCjxBxZgfq7NTV5Jfq1uzN7H4UC9T8w2uCDhF992ccDnVCFhp+kTqDdCg46lQcFKmN2PNAzgZYdfYE+UQUMMag7rkYdsdwKXEmB5mEmUI1z6giBLuvldOjXzum3Ulro4jws3RZbrS/Qlv6RtPIZ4P35dX64I6SP9+DcF1WL9kGDufE/6UsjFucdjakHfpY5UtLjTYL/zDMm9J/sI/s0eUH78Eujo2vKCtTfo3JI9EvVX3U5IXhNNRSo/0rBMUm/+vIPqHxZo7OtnRfemkC9x3XMoVoCKFAZI4G+Dpz4tesL1J3zKzSea9B3TI06YpkM/IkCzcNMoBrn1OmeO6DyiF4deo/+UV7ICDQaiKvWF2hj7B6d/J/AdX/InTPOe3D+EpjVGLsm/qz5h7NbPEUcaW50YNCrwoWvdgKai/fMF/kGbVX4B1VWoKOB3y2tjicU6H3wD7WXwMY9L3wh1gT6J2BawqgUqIyRQHtihxVuKFD3h91xTul1x9WoI5avGmF3CjQPM4FaOaeOfrXefXah9xw7Ovl4oPfuaJh9CdJ7cB4LPJZ8Ssjk44G+e+c5v+6d/TjTjZGzIy/qgl/PKsxnBbqgV/v/FX4tSyhQ7y+FptL55rLUU4H+IXpc63woUBkjge4Hf7fnUKDujTi81LLja9QSy/6oWk6B5jATqJVz6uhX691n5wC/ik4+zXNlA+ydXfQenN6fi9fGHSYkF1Gf1jhg+U64On95phzRP63x4l0KzoOUTz0V6DFA0qu+FKiMkUA3x4OuEOgj2KrUsuNr1BJLZ+BFCjSHmUCtnFNHv1rvPjsDOCE6+ZdV8J57n5hd9B6cfwbaJ7/prSnQ9V8+k/S0PEsJ54X/6KEFiZF6KtAjoqemyocClTESaIvg8ZcR6LBaFehNwJUUaA4zgVo5p45+td599iWgc8Ho2/ovXV6YXfIenOcDe+QfxrMQPYEanBc+Bvm0xhL1VKCHAkmvWlCgMkYCbYM+rhBoJxxSatnxNWqJZTrwCwo0h5lArZxTR79a7z77BHBmweiHIv8tGu/BeWVwjLmp1UlQoAqsCbR1eMqAOChQGSOB3oDGH2cF+qj/waIyyG1ZTyx7oCrxlf88KNCQeIFaOaeOfrXeffb/8s7LniE4Kufz2SXvwTk0OJLHF4k/KwWqwJpA90aDpFEpUBkjgX6zHVq9uMEX6PzzG6HZwuLfoVOjnlh6JR8sJh8KNCThg/Q2zqmjX613nx0ODCoY/Xxfl+LZovfgvMMX6M7JPysFqiD/nFYl1hMV6C5omjQqBSpjtifS1KbBSREO2cZ/DJT6P19SjXpiGZPZ1bkIFGhI0r7wFs6po1+td5+9Cfhbwej+mYxbiSXvwTnGH+eo5J+VAs1RM/e5Z3OUV09UoNtim6RRKVAZw33hPzw8+/jb+2Wj9mJq1BPL542xfbG3Wasp0CyJBxMp/5w6+tV699mrgeEFo4/17j2/E0srghN3+kfXSIQCFUzbK3IQ5vLqiQp0y/BkVHFQoDKmBxOpmTbopMMOPe7CSdL5cY1r1BTLUXln606GAg3RfmyVfk6dooiZvPvsBZFzFge86j3yzxZL3oPzJd8FhU/086BAs8xtgooJtDH2SBqVApWpW8cD9fkLcE3xFAUaov3YKv1NiKKImbz7bC/giYLRP4N/wvQs3oNzRniIpUQo0CynA+2e/miWoLx6IgJd7B9UMAEKVKbuCfQV4OjiKQo0JC0CPQV4qXD2FsD/Ewveg3OOL1DFswsKNMt++FP5L1znNpkv0MzxqGOhQGXKE+jyx0a8tdZWjZpi+WYHNPm8aIoCDUmLQI8H3iqc/WfAbLHgPTgX+gJVVEuBZtkMT1isJyLQOZFjCUShQGUMBTrprMu9f99u5d3jD11gqUZdsXRPPudADgo0JC0C/VuPdp8Uzv6vzfI+T+E/OJsC2yt+Vgo0y054zWI9EYF+oDicCwUqYybQi4D2Xu/hOcb3LXqGR70adcVyP3B+0RQFGpIWgRZ95PkPzh2BI5QRCjSkPW63WE9EoDOC00bFQ4HKGAn0VaDxRa77JHDDrGuB8XZq1BXLp8AviqYo0JA6JdCfAt2UEQo05NWqfZbbqyci0NeAtkmjUqAyRgJtjx3meBdnYrf1rvtHtLVTo7ZYdkGjoi+CUqAhdUqgbcRxkRMiFGiG2/Cr96zVExHoi0CnpFEpUBnD44EO9i92wzXev3fiADs1aovllOTzBgoo0JA6JdBj40+IlItQoCETJ54DHH3W4CEZyqsnItCnge5Jo1KgMkYCbQr/XA5fAP5eSBOxhVF/Uo3aYrkZuKRYigINqVMC7RjzWadIhAINASr2QfrHgLOSRqVAZYwEujNGe//ejcb+ecQewjZG/Uk1aovldeno5jIUaEidEugTu/xpsTJCgYZsUUB59UQEOg44L2lUClTGSKBHB8cDPRx/9BcurdXjgfq/9mXboslXRVIUaEidEmjRCAVaiXoiAh0NXJQ0KgUqYyTQa9HksXUTgJHe9Rlb41Q7NeqL5WTgySIpCjSEApWhQKP1RAQ6ErgiaVQKVMZIoF9vBTQEdlzhfv877/JNOzXqi+UG9bu1PhRoCAUqU88EWt3+0vLqiQj0NuDapFEpUBmzD9K/uh3g/RXqleBd9jeqT65RXyyTgWOLpCjQEApUpp4JdAK2La+eiED/BgxNGpUClTHclXPhff1vmOmXsEvbCUbtxdSoL5bFW2GLReoUBRpCgcrUA4Gu+2fb/TLsA+xUXj0RgV4P3JI0KgUqY+toTMaHk8xtuQSx/B54QZ2iQEMoUJm6L9D1J0Y+xWS2X2duk/kCvRq4M2lUClTGlkCNH3+5LZcglkHAdeoUBRqiLdDSz6lTFDETBaqMlC7Qx4FdTu8InHxOj12Bf5dZT0SgA4F7k0alQGXqpkCfAY5TpyjQkCSBWjinjn61FKgyUrpAT8Yey1z3DH+HwA0X4GSzY4PmNpkv0P7Ag0mjUqAydVOgi5pji4XKFAUakiBQG+fU0a+WAlVGShfovrjO+/dhnOD9W/NLTDaqpyZH3sIFwHM1SbiJX4nGdHOaa6tTqzPqorYFWn088LQyRYGGxLvRyjl19KulQJWR0gXaDOO8f+djD3/h/9DTqJ4fBWtdd232+pnACz8msNpdnfSlfLzVrdHJrXFX6cTWWV+d5k+hk/pxfeHqjLqodYEOUXzcN4ACDYl3o5Vz6uhXS4EqI6ULdKtAoBs2r/KefLvvhx41ryfyFL4r8HzSqHwKL1M3n8L7J0ZSnEC8mgLNEi9QK+fU0a+WAlVGShfoAbjevzgQr7v+QX02K6+eiEDbAa8mjUqBytRRgS7dHk2+UKUo0JB4gVo5p05RxEwUqDJSukA7Y9dlrn+mvkHevy9j1/LqiQj0j8B/kkalQGXqqECr2xc5JigFGhIvUCvn1CmKmIkCVUZKF+hUYPe/uO5wbDPTXXkcji2vnohAfwe8lzQqBSpTVwV6C3CBKkWBhsQL1Mo5dYoiZqJAlZHSBVrTKXjnb1kLNGy9FYKj85ZRT0SgRwKzkkalQGXqqkDfAn6uSlGgIfECtXJOHf1qKVBlxGBXzjX/OMp/4XN8Q/8zFF03lFdPRKCHAp8ljUqBytRVgVbvhoYfK1IUaEjCJ5RsnFNHv1oKVBkxO5jIGv+f9849vvc4w/cDc5vMF2hrYEHSqBSoTJ0V6GnAA4oUBRoSL1Ar59TRr5YCVUZSdTzQvdEgcVQKVKbOCnSk4vSr1RRolniBWjmnjn61FKgyYizQdWbP3QvriQh0FzRNHJUClamzAv10KzSYmpyiQEPi3WjlnDr61VKgyoiRQJ8/fc9mmO++MnJZ2fVEBLotWiaOSoHK1FmBVl8CdEhOUaAhFfrjUgsxEwWqjBgIdHX34JnDfHc0mtxbbj0RgW6JnRNHpUBl6q5AP95S9ScoBRpCgcrUfYHWnAm07OgL9IkqwPAl7Nwm8wXaGHsmjkqBypQo0MEDvvL+HTBgfeEXjA8nmdtyqWK5COiUmKJAQzQEanpOneIrzkKBKiOlC/R14MSvXV+g7pxfofHc8urJF+hiYP/EUSlQmRIFunlw6CxgnVFlcawS+Mc1WVWcNdnUguZo+H5Saq3rrtNY2SrNlFujE1u/QStV4s+pRPo5C369GgI1PadOUfLvsxRocqR0gfbEDivcUKDuD7vjnPLqyRfoF8AhiaNSoDIlCnRndPt23Tpg1bp8jPrLsF5Qk7+QzAaRugw4NznlbtBZm2bKrdGJ1eilSv051amCn6Dg15sgUBvn1ClK/n2WAk2OlC7Q/XCFmxWoeyMOL6+efIHOAQ5PHJUClSlRoN0LPwBT9qdgclsu+antzCrsnZTiU/iQ+G6snFNHv1oKVBkpXaCb40FXCPQRbFVePfkC/QA4JnFUClSmRIF+eUCKBOrvNfFBQooCDYnvxso5dfSrpUCVkdIF2gJ3uUKgw2wKdAZwfOKoFKhMqe/Cr3phxB13ALfdkY9Rf1KNpYulD3BXQooCDYkXqJVz6uhXS4EqI6ULtA36uEKgnXBIefXkC/Q11f4pFKiM0ceYbL6JlNty6WK5Hzg9IUWBZqqK/aVbOaeOfrUUqDJSukBvQOOPswJ9FLiyvHryBfoi0DlxVApUxkigN91U1j5kCTWWLpbZVdgnIUWBhsQL1Mo5dfSrpUCVkdIF+s12aPXiBl+g889vhGYLy6snX6BPAz0SR6VAZWx9kN6Y3JYNxLI/8GF8igINiReolXPq6FdLgSojBnsiTW0KbAccsg2AqrJ3YckT6GNA78RRKVAZU4GuGN55vx1a/qT9sG/M2oup0UAsvYG741MUaEi8QK2cU0e/WgpUGTHZF/7Dw7Pv4O79crn15At0HHB+4qgUqIyZQGvu3jLb35ajynsLIrdlA7HcB5wRn6JAQ+IFauWcOvrVUqDKiNHBRGqmDTrpsEOPu3CStFNgyfXkC3Q0cHHiqBSojJlAh3rm3OqXnbsd0cK78k/TBgtqNBDL7Cr8JD5FgYbEC9TKOXX0q6VAlZE0HQ90JHBl4qgUqIyRQD9ogG1vX+lf+/H2bdFwtp0aTcSyX9KLoBRoSLxArZxTR79aClQZSZNAbwMGJ45KgcoYCbQvGk/LXn+tEc63U6OJWM4CRsWmKNCQhJ0cbJxTR79aClQZMRHo6plPT8pRXj35Av0bcFPiqBSojJFAf4qzcgu9sa9Rf1KNJmJJfBGUAg1J3kus7HPq6FdLgSojBgK9e+vydwXMbTJPoNcD/0oclQKVMRJoM9ydW7gHzYz6k2o0EcusKuwRm6JAQ3g8UJm6L9CnbexLndtknkCvBoYnjkqByhgJtGmwK26GezemQKsPBt6MS1GgIcrHVnnn1CmKmIkCVUZKF+gxQN+X5nwiKK+efIEOBO5LHJUClTES6E9wZm6hz8Z8Cu8fVfmvcSkKNCRRoOWfU0e/WgpUGSldoDugn8V68gXaHxibOCoFKmMk0HPQ6NXs9dcb41w7NRqJ5Sng2LgUBRqSIFAb59TRr5YCVUZMDmdn+un5uHryBdoHeCRxVApUxkigHzXANv/y9wJ0V962LRp8ZKdGI7Es3gZN5sWkKNCQhI8x2Tinjn61FKgyUrpA98VTFuvJF+ifgUmJo1KgMmYfpP+H99dL81926vTL5t6Vv1uq0UwsHeKfc1CgIfECtXJOHf1qKVBlpHSBXoVeFuvJF2gX4IXEUSlQGcN94e9vnn0DsPk9G3FXTo87gDNjUhRoSLxArZxTR79aClQZKV2g3+6FW8t+AzC3yTyBOkDyqW4pUBnTg4l8O6Lz/jvuuH/n4Sus1WgmllkNsGtMigINiReolXPq6FdLgSojBp8DndcKh14+fGSW8urJF+gJwPTEUSlQGVuHs5u9xeNm35jbsqFYDgGmySkKNCReoFbOqaNfLQWqjBicF/7ySn0O9LfA+4mjUqAytgQ6C2UfldBQLAOB6+UUBRoS/9iyck4d/WopUGWkdIHeU7EP0h8BzE4clQKVqfsCfSb2RKwUaEj8Y8vKOXX0q6VAlZHSBXooGg2Zs3KVoLx68gX6c+DzxFEpUJm6L9DFOwIPSykKNCReoFbOqaNfLQWqjJQu0GbBgVxt1ZMv0NbAwsRRKVCZui/Q6r8D+y4qTFGgIfECtXJOHf1qKVBlpHSBbompFuvJF+heaJg8KgUqUw8Eunj/mCPIUKAhCS+P2Tinjn61FKgyUrpAD8NEi/XkC7QVmiWPSoHK1AOBVj/oyaDwhRsKNCTp/QUL59TRr5YCVUZKF+godCr/GIS5TeYJtCVaJo9KgcrUB4FWHwNcVnATBRqS+AZt+efU0a+WAlVGShfoho64wuydo7h68gW6BXZOHpUClakXAp1chW0WR2+iQEN4PFCZui/QiY8cgN26XzUoS3n15Au0EfZMHpUClakXAvU//vtc9BYKNIQClan7AkWlPge6GNg/eVQKVKZ+CHSwdC5BCjQk6bFl4Zw6+tVSoMpI6QLdtoDy6skT6DzgkORRKVCZ+iHQKcCR0Vso0JAEgdo4p45+tRSoMpKis3LOid0rJQsFKlM/BLp0RzT6LHILBRoS70Yr59TRr5YCVUZSJND/Asckj0qBytQPgfqHMXwwcgMFGhLvRivn1NGvlgJVRlIk0LeA45NHpUBl6olA7wT6RG6gQEPiBWrlnDpFETNRoMpIigQ6FWibPCoFKlNPBPpRFfaJ3ECBhiQdzq5in57PQ8xEgSojKRLoZKBz8qgUqEw9Eah/EIR38pcp0JB4gVo5p05RxEwUqDKSIoE+BfRIHpUClbEl0AU9ppdbY1liOa9gf3gKNCReoFbOqVMUMRMFqoykSKCPAr2TR6VAZQwFWjP3uWdz2KmxLLGMB9rlL1OgIfECtXJOHf1qKVBlJEUCfQg4P3lUClTGTKDT9rL2KZjclssSy/zN0GJO3jIFGpLQjY1z6uhXS4EqIykS6P3AxcmjUqAyRgKd28TexwhzWy5PLCcC7fMWKdCQhPPC2zinjn61FKgykiKBjpB26cuHApUxEujp3vPlpz+aJbBTY3lieXsL4O7cIgUaEu9GK+fU0a+WAlVGUiTQW4HByaNSoDJGAt0Pfyr/cIRSjWWK5e9Ai9wJBSnQkHg3WjmnTlFWZPF+4u9XFOH74hHvcb6mWGbFhtXFI25N0cxqjYj3qy+W+c79oXjEXZu/XJkuYsjdZ3ICvQm4KfnORoHKGAl0MzxRgRrLFMvSY4HfiyUKNCReoFbOqUPqNrn7TE6g18Wc3CEHBSpjJNCd8FoFaixXLB9sDbyYXaBAQ+IFauWcOkX5Jov/F+g3Rfje/a54xF1dLPPNBo2IW1M0s0oj4ro/FMt8Wzzi/wWav1wLxYTk7jM5gV4FDE++s1GgMkYCbY/bK1Bj2WL5C3Bu9joFGhIvUCvn1CmKmImvgSojKXoN9BLgvuRRKVAZI4G+WrXPcvs1li2WDxpgx+yB6SnQkHiBWjmnjn61FKgykiKB9gPGJo9KgcqYfQ70NvzqPes1li+Wo4BHM1cp0JB4gVo5p45+tRSoMpIigfYBHkkelQKVMRLoxInnAEefNXhIBjs1li+WfwHdMlcp0JB4gVo5p45+tRSoMpIigfYEJiWPSoHKGAnUyilZpBrLF8snTdB8fniVAs1UVfECNaqlQJWRFAm0C/BC8qgUqIyRQLcowE6NFsTyJ/EaOAUaEu9GK+fU0a+WAlVGUiRQB5iaPCoFKmPraEwWarQgltHASeE1CjSEZ+WUoUCj9eQJ9ARgevKoFKhM/RLoVy3QZFZwjQINoUBlKNBoPXkC/S3wfnUiFKhM+QKtbn+pnRptiKVn9niGFGgIBSpDgUbryRPoEcDs5FEpUJnyBToBZb2EltuyDbG83QSNXvOvUKAhFKgMBRqtJ0+gPwc+Tx6VApUxE+i6f7bdL8M+wE52arQilnOBP/qXFGgIBSpDgUbryRNoa2Bh8qgUqIyRQNefGPkQTFn7dea2bEUsn7QMP0xPgYZQoDIUaLSePIHuhYaKUSlQGSOBPg7scnpH4ORzeuwK/NtSjXbEMgQ4aAkFmoUClaFAo/XkCbQVmilGpUBljAR6MvZY5rpnYLDrbrgAJ5e1W3Vuy3bEsmBPYBQFmoUClaFAo/XkCbQlWipGpUBljAS6L67z/n0YJ3j/1vwSk+3UaEks9wL7LqZAM1CgMhRotJ48gW6JnRSjUqAyRgJthnHev/Oxh7/wf+hpp0ZLYll6IHAXBZqBApWhQKP15Al0M+ymGJUClTES6FaBQDdsXuX95t33Q4+WX6MtsYwG9l5EgYZQoDIUaLSePIE2xh6KUSlQGSOBHoDr/YsD8br37xfYzE6NtsTi/wk6ggINoUBlKNBoPXkCbYi9FKNSoDJGAu2MXZd5F6cEZ9Z5GbvaqdGaWLw/QfdaToEGUKAyFGi0njyBVuEnilEpUBkjgU4Fdv+L6w7HNjPdlcfhWDs1WhPL0oOAf1CgARSoDAUarScn0CXAfopRKVAZI4HWdAqOIbmsBRq23gp42E6N9sQyDmj2KQXqQ4HKUKDRenICXQi0VoxKgcqY7cq55h9H+S98jm/o74jUdYOdGi2KpQNw1HoK1KVA48N9iVQAACAASURBVKBAo/XkBPoVcJBiVApUxvhgImv8f9479/je48o7PVluyxbFMmcH4FYK1KVA46BAo/XkBPoFcIhiVApUpn4dD1QwxnsSrziwYQ4KtHKImShQZSQ9Av0M+IViVApUphyBrivrubtUo1WxdPWexC/RyFGglUPMRIEqI+kR6CfAYYpRKVAZU4E+f/qezTDffWXkMms1WhXLFzsBN2nkKNDKIWaiQJWR9Ah0DnCEYlQKVMZMoKu7B8exm++ORpN7bdVoVyxPAk3fKp6jQCuHmIkCVUbSI9D/ec/bFKNSoDJmH2M6E2jZ0RfoE1VAWaeFr5hA3VOBo5cWzVGglUPMRIEqI+kR6IfAbxSjUqAyRgJ9HTjxa9cXqDvnV2g8106NlsWydDvg1qI5CrRyiJkoUGUkPQJ9H/idYlQKVMZIoD2xg3dnDgTq/rA7zrFTo22xjAG2m1ssR4FWDjETBaqMpEeg7wK/V4xKgcoYCXQ/XOFmBereiMPt1GhdLMcC/YrlKNDKIWaiQJWR9Ah0BnC8YlQKVMZIoJvjQVcI9BFsZadG62J5vRGa/KdIjgKtHGImClQZSY9A/5M5JWMCFKiMkUBb4C5XCHRYagVafRZwUpEcBVo5xEwUqDKSHoG+AZysGJUClTESaBv0cYVAO+EQOzXaF8ucFuEpOhVQoJVDzESBKiPpEehrQFvFqBSojJFAb0Djj7MCfRS40k6NFRDLEGDPecocBVo5xEwUqDKSHoG+CrRXjEqByhgJ9Jvt0OrFDb5A55/fCM0W2qmxAmJZeABwhjJHgVYOMRMFqoykR6AvA6coRqVAZcz2RJraFNgOOGQbAFWPWKqxEmKZ0gQYp8pRoJVDzESBKiPpEehkoItiVApUxnBf+A8PR4a9X7ZVY0XEcjWw4xxFjgKtHGImClQZSY9AnwO6KUalQGVMDyZSM23QSYcdetyFk9Zbq7EiYll8mPo+QYFWDjETBaqMpEegzwDdFaNSoDL19HigObFMb4qGbybnKNDKIWaiQJWR9Ah0EvBnxagUqEy9F2h1f6Bzco4CrRxiJgpUGUmPQJ8AeilGpUBlDAW6eubTk3LYqbFCYpmzJRq+kZijQCuHmIkCVUbSI9DHgN6KUSlQGTOB3r018rFTY6XEcgHQKTFHgVYOMRMFqoykR6ATgLMVo1KgMkYCfRqoQwL1/gRtMDUpR4FWDjETBaqMpEegDwPnKkalQGWMBHoM0PelOZ8I7NRYMbEMAH47PyFHgVYOMRMFqoykR6APAecrRqVAZYwEugP6VaDGiollTnPg8I/jcxRo5RAzUaDKSHoE+iBwgWJUClTG8HB2ZX56PrbGyolldBNgv/izHFOglUPMRIEqI+kR6APARYpRKVAZI4Hui6cqUGMFxTJxK8+gC+JyFGjlEDNRoMpIegR6P3CJYlQKVMZIoFehVwVqrKRYXtkJuCYuR4FWDjETBaqMpEeg9wCXKUalQGWMBPrtXrh1g/UaKyqWJ6vQLO5JPAVaOcRMFKgykh6B3gVcqRiVApUx+xzovFY49PLhI7PYqbGyYukMtIvJUaCVQ8xEgSoj6RHocGCQYlQKVMbsvPCX16XPgYbMbA48Iuco0MohZqJAlZH0CPQO4C+KUSlQGSOB3lOnPkifYQjQ/KxXCnMUaOUQM1Ggykh6BHobcJ1iVApUxkigh6LRkDkrVwns1FhhgS5q7bu+3aLorRRo5RAzUaDKSHoEegswRDEqBSpjJNBmGFSBGiss0Oq32jaG9BoPBVo5xEwUqDKSHoHeDAxVjEqByhgJdEtMrUCNlRZodfXMy6rQ5LXITRRo5RAzUaDKSHoEehPwN8WoFKiMkUAPw8QK1Fh5gVZX9wQOXph/AwVaOcRMFKgykh6B3gjcrBiVApUxEugodKqxX2NtCPSzXQuexFOglUPMRIEqI+kR6A3ALYpRKVAZI4Fu6IgrVO8cVd9+YZdzb/48/yZxty48h1Juy7Uh0Orx3pP45/KWKdDKIWaiQJWR9Ah0MHCbYlQKVMZIoBMfOQC7db9qUJaCL7/b1XF6tnM65O8wP9bJMC+xxloRaHUPYIe8XZIo0MohZqJAlZH0CPQvwB2KUSlQGSOBQvk50LVnOzd9664c7XT4PHfjzWkR6PxDgYO+EIsUaOUQM1Ggykh6BDoIGK4YlQKVMRLotgVEvzrZOXOtf3mLc3Puxoslc0o11o5Aq9/fAThxdnaJAq0cYiYKVBlJj0CvBO5SjEqBylTgrJx3O2ODy/edc8VtNd3arS1WYy0JtPq5zYCmvd8JFyjQyiFmokCVkfQI9DLgHsWoFKhMBQR6rRN+SnSe00nc9p3Tt2iNtSXQ6lENAWwRvpVEgVYOMRMFqoykR6CXAPcrRqVAZSog0M9nrwwuJzvni9vmODe8dsP5gx/4WlFjrQm0emrXxsBBi/2rFGjlEDNRoMpIegR6EfCAYlQKVKYCAs3w/dnOQ2JhitMheAvptDezt4y+MWBKbo/69a67elVx1mil1rruOsWXP9kHuDXYjV+VErhujU5s/QatVEV/zoIWKFAZCjRaT06gFwAPKkalQGUqJtAFA5wzvhVL4xzn/s9Xzrzc6bIsc8sZbQKG29peiTwHbLN0I227NqFAZSjQaD05gZ4PjFOMSoHKVEiga8d3crrPzS0/e/Pz/sX6/s4dmVs2skDdPwFJL8vWJyhQGQo0Wk9OoOcA4xWjUqAylRHovH6Oc3XcqqY4/TPXPpoe8OUKgfds9LsVxVmpmXJXKQPvbYYG41esqFGnMnjq14mt1UtV9Ocs+IVToDIUaLSenED7xB50XECBylREoM+d4pw+JXZv+XlOh4J9OXNbrr03kQIuBhoOWso3kSqHmIkCVUbSI9CzgMcVo1KgMpUQ6CuOM3Rl/JcWOd0KxJrbci0L9MujAZy8iAKtGGImClQZqYhAJzsLM9dmDTm7y0WjvkuuJyfQM4AnFKNSoDIVEOjCU5yxBZZc1a9faNQZzmWJNdayQKsX9vU/DnrJHI21UaAmiJkoUGWkEgKtuSYr0CfbOe17Ok7PrxLryQn0z8AkxagUqEwFBDrauU267RonPILo4MxeSnE11rZAq6vvauoptLnqo8MZKFATxEwUqDJSAYFumOhkBLqsU7uJa90llztXF76mltukEGh34BnFqBSoTAUE2tt5c3mI/47GhHEzvX+nOR0nr3eXD3N6FX5QMbfl2hdo9YwuDYCGqt1/QyhQE8RMFKgyYl2gM27t7WQFOsb5m3+xpINT+Km93CaFQLsBz1UnQ4HK2BfoWkfQ21vs4jzs3zrKcTp0d5wzZhbGc1veCAKtrp55nGfQEcVSFKgJYiYKVBmxLtBhwaMvFOiQzI7V/Zx3kurJCbQLMFkxKgUqY1+gC2IFWjN9UK8uA+9RvZS9UQRa8007jb9BKVATxEwUqDJiXaBL586de2pGoJeeOie4vMSZllRPTqCnAC8rRqVAZSq3K6cmuS1vHIH+sKgD0ORZdYoCNUHMRIEqIxV5F767eBc+4LuuTuG7SLlNCoG2B15VjEqBylCg1YvbAjt+qExRoCaImShQZaTiAl379duX5Q7Ou+SrgG+XCzzjrQyuOMAby5P5zv1W8VWB94v5QSf3vfuNTsy793yvk/tBb3We8b7Tya10dVLLvUdz9JdiqT9tcvecjSXQ6vk/B372pSpFgZogZqJAlZGKC/RCx3GGr8kuKXai9p6MzbK0fVJL5O45G02g1e9tB/zmTUWKAjVBzESBKiMVF+gtF3R1uj2bXVII1PsL9GNL2ye1RO6es/EEWj2pMdD4/M8SUxSoCWImClQZqYXXQGumdHT+k7k+/IqA51YL1rnuuuDKid5foKuTWeuuVXw1f3VaubXuGp3Yes3VrbO9Op3U6g1uwWYt9adN7p6zEQVaPbolgO1vX5KQokBNEDNRoMpIbbyJ5I5xrkuqJ/cm0rHAu4pR+SaSDN9ECi8/7tPIU+jPEz4FR4GaIGaiQJWRSgp0+SOZp+4z8s4PUVBPTqC/Bf6rGJUClaFAs9em/tozaLMXY1MUqAliJgpUGamkQH9wOoaHP3vZuSapnpxAvYeA6uMoFKgMBZq7Pno3YMf341IUqAliJgpUGanoU/izww/Q1wxx7k+qJyfQo4D/KUalQGUo0LyFz1oDB34ek6JATRAzUaDKSEUF+qTTc/p699u7na5LkurJCfQIQHVwMgpUhgLNX3pvB+DYT+UUBWqCmIkCVUYqKtANgxynQw/H6fxaYj05gR4GfKIYlQKVoUAjiy80BXaVjym7SQt00e39O/UZVXiukBzCWAXnGqBA0yBQt+b5K8/oMuBO+QyKuU0Kgf4CSP4sHwUaBwUaXR7rGbTBhQsLUpuyQN/o6rTzj6PlPwPsnjtQzCciMDZ707ykailQZSQ9p/Q4BPhCMSoFKkOBFtww7WD/40zTozduwgJd3sW5b2XNvP7BxwjzBJo75erNFGgidUygBwFfKUalQGUo0MJbFlzQANjitshn6jdhgd4ZHpD3my7tvD9BsxNNc67PHd/8YsmchdVSoMpIegTaGih88pUPBSpDgcq3PbaT90foT+/IuyttwgI91/kouBzhjBO3rTm3R+6gMzXd2q0tUi0FqoykR6D7AUk74/lQoDIUaMyNc070DIp9ZogbNl2Brm3nhAfBfsYZKm68z5meS3zn9C1WLQWqjKRHoD8BVKNSoDIUaOzN9x7gGfRg8XrQpivQlU5GoJNz51Od0+7mvMQc54bXbjh/8ANfJ1dLgSoj6RHoXmioGpUClaFA429f+uDOwJnZpU1XoO4ZTniEyFFOn8wtNVe2X5AXmOJ0CN5COu1NcctjAR99n8V7iv/j90X40V1ZPOKuLZb5fkPxSI1bUzSzRiPi+bxYZqVOxF2Xv1xuYdrk7jNCoLujierORoHKUKBJX3m2MZA9V9ImLNCh4aHMl3d1Tsvc8rZzZ35gnOPc//nKmZc7XZZlblEccJKkh9x9Rgh0V2yuurNRoDIUaOKXrgGa/zPcLWkTFugX7Z2RX/0w42zHOTe8oWbAKZGNPHvz8/7F+v7OHZlbKNA6Qe4+IwS6M7ZQ3dkoUBkKNPFLS34PYLP2I2Zt0gJ1n+voP0HvMMq5Klye4dwSm5vi9M9ce/qBgHd+yLLOewr/QxFW6UTctcUyP2woHvGewhfNrNWIeE/hi2V+dFcXj7jr8pfLLkyX3H1GCHQHNFfd2ShQGQo0+WuzW/tvxqPq0Ec2ZYG6c0dcPHDUZ1OzZyX7q/NebGye06FgX04xE99EUkbS8ybSdthaNSoFKkOBKr645PFTm/kKbXD1uk1YoCGPOqODy+Xtz9wQG1jkdKuJ3iJmokCVkfQItCVaqkalQGUoUPXXvxxzxq6eQn/9sc7K6qNA574ffmZ+oPN+cDnBGRP5+qp+/VYGV2bkPudUWC0FqoykR6AtsL1qVApUhgItGll0YRXQpO/s4iurjwIdE77nPss5K3yCPsCZGQ1c40wMLgc7Y5OqpUCVkfQIdEvspBqVApWhQDVC47f3/gjdcpDqOAsB9VGgn7Vr9+yGde+e5rwYLH7jdBAnGJ8wznfpNKfj5PXu8mFOr1VJ1VKgykh6BNoUu6hGpUBlKFCd1OLzGnsK3e3epepYfRSo+4jjdOrsOHeFL3BOcQaKr3RxHvYvRjlOB/94dzMLv1PMRIEqI+kRaBPsphqVApWhQHVS3lPY9t7zePwh7nwfOeqlQN0ZV3Y/9YqpmTeIbnXuE1/ICLRm+qBeXQbe811ytRSoMpIegTbCnqpRKVAZClQn5X+M6ZlD/d3jZ6pi9VOgxoiZKFBlJD0CrcI+qlEpUBkKVCcVfA506R3NvKfx499LPuAXBRpBzESBKiOpEehSYF/VqBSoDAWqk8p8kP757fxPhTZpuyAhRoFGEDNRoMpIagS6CGitGpUClaFAdVLZPZFm7B3sm3RmQowCjSBmokCVkdQIdAFwoGpUClSGAtVJiV05P/lLt6MaASPiYxRoBDETBaqMpEagXwI/U41KgcpQoDqpyL7w1wLNps57d64co0AjiJkoUGUkNQL9HDhUNSoFKkOB6qQiAl16UvA8fvO+HxbGKNAIYiYKVBlJjUA/BdqoRqVAZShQnVT0aEyf7hkYFJv1eTcao0AjiJkoUGUkNQL9GDhMNSoFKkOB6qQKDmc3db9dfnaUv29Sw3aTFuXdToFGEDNRoMpIagQ6GzhSNSoFKkOB6qTijgf6dg9foWh6xIA52Zso0AhiJgpUGUmNQD8CjlaNSoHKUKA6qfgDKr97XvPgqfwBWYNSoBHETBSoMpIagX4AHKMalQKVoUB1UklHpP9s6HHb+Dt4Zo4WSoFGEDNRoMpIagT6HnCsalQKVIYC1UkpTumx9KmtgUP+G1ynQCOImShQZSQ1An0HOE41KgUqQ4HqpJTnRJrcAmjwm9s/pUALEDNRoMpIagT6FnCCalQKVIYC1UmpTyr33FbBLvLH37mMAs1HzESBKiOpEeibwEmqUSlQGQpUJ1XkrJxv9d0+eDdp60v/q7EyCjQOCjRD7dcjBPo60FY1KgUqQ4HqpIqe1njxhG4tfIU2bjt2YbGVUaBxUKAZar8eIdCpQDvVqBSoDAWqk9I5L/yCcSc38B263SXz1EEKNA4KNEPt1yMEOgXoqBqVApWhQHVSOgL1+Oi8LX2F7jRcee4kCjQOCjRD7dcjBPoi0Fk1KgUqQ4HqpDQFunrdF8N/6/8ZusPhp/w98ak8BRoHBZqh9usRAn0e6KoalQKVoUB1UtoC9f556YjwUCOtn0lIUaBxUKAZar8eIdBngW6qUSlQGQpUJ1WKQKuXjjqwiW/QBqe/HpuiQOOgQDPUfj1CoE8DPVSjUqAyFKhOqiSB+swcG5z847Db58spCjQOCjRD7dcjBPokcLpqVApUhgLVSZUs0Orqry4L/gzd6uz3ClMUaBwUaIbar0cIdGLy6b4CKFAZClQnZSDQ6up3L9s1+GjoKc9HUxRoHBRohtqvRwj0UaCPalQKVIYC1UkZCbS6esn4PwQfDf3lbfknUKJA46BAM9R+PUKgE4C+qlEpUBkKVCdlKFCPN8/aIjj7x5/6XnTDpPCTTRRoHBRohtqvRwj038B5qlEpUBkKVCdlLtDq6k+v2w0ZtvjDQ9UUaDwUaIbar0cIdCzQXzUqBSpDgeqkyhGo90x+QtdmWYe2/x8FGgsFmqH26xECHQMMUI1KgcpQoDqp8gTq8cWk8fcNOcHf0XOba+dQoDFQoBlqvx4h0NHAxapRKVAZClQnVbZAQxYNDV4Q/cUtRQ43EkCByhEKtBL1CIHeC1yqGpUClaFAdVKWBFpd/e7vgyfyW5795FtfFIlSoHKEAq1EPUKgdwOXq0alQGUoUJ2UNYFWVz/ff6/My6G79XtBFaRA5QgFWol6hEBHAFepRqVAZShQnZRFgXo/55unNso4dPujT//H5wkxClSOUKCVqEcI9A5gkGpUClSGAtVJ2RWo6354dbff718VSrTllXNjYxSoHKFAK1GPEOgw4FrVqBSoDAWqk7It0ODnfPe6Xwa7y6PFRbNiYhSoHKFAK1GPEOitwPWqUSlQGQpUJ1URgXosefffJ/h/iG7ea9jEwoOOUKByhAKtRD1CoP8E/qoalQKVoUB1UpUSqM/LbRuEz+X37v/MkrzbKVA5QoFWoh4h0L8DN6lGpUBlKFCdVCUFWl39xmlNsm/MXzpD3EqByhEKtBL1CIHeBPxdNSoFKkOB6qQqK9Dq6g9HXtXjwEChVUfe9ll4GwUqRyjQStQjBPpX4J+qUSlQGQpUJ1VpgQa889fDAoduftwVEz6lQOMiFGgl6hECvR64VTUqBSpDgeqkakWgHm9c1CrzZH7P9leNeXJ28ZVRoAVQoCXXIwR6LTBMNSoFKkOB6qRqS6DV1Use6bJF9shNaHDY4P8UWRkFWgAFWnI9QqCDgDtVo1KgMhSoTqr2BOqx8MWbuu7bICvRvfqM/0oRpkALoEBLrkcI9CpgpGpUClSGAtVJ1apAA+Y9c9f1p+0cOrTZiX9/Mu6j9j4UaAEUaMn1CIFeDoxSjUqBylCgOqnaF2jwcy594aKDMjt8ouWfn4lLUaAFUKAl1yMEOhC4VzUqBSpDgeqkNpJA/YsPbm2bfVF0n7Pvfe+TghQFWgAFWnI9QqAXA6NVo1KgMhSoTmojCtRjwSNXdz20cfZF0YZtrnsnl6JAC6BAS65HCHQAMEY1KgUqQ4HqpDauQANm33iweHceOx/Z7capS/2bKdACKNCS6xEC7Q+MVY1KgcpQoDqpFAjU4727eh92yCHbZy26Q7dxCyjQQijQkusRAj0P+LdqVApUhgLVSaVDoCFLX7igdXbf+a3bXzb6awo0Hwq05HqEQPsCE1SjUqAyFKhOKk0C9Vn638cvOzxzWPuPKNB8KNCS6xEC7QM8qhqVApWhQHVSaRNowKd3/KEx0GAVBZoPBVpyPUKgZwITVaNSoDIUqE4qlQL1+OzZe//B10AjUKAl1yMEejrwpGpUClSGAtVJpVWgfBdeggItuR4h0B7A06pRKVAZClQnRYGaIGaiQJWR1Ai0G/CsalQKVIYC1UlRoCaImShQZSQ1Au0KvKAalQKVoUB1UhSoCWImClQZSY1AOwEvqUalQGUoUJ0UBWqCmIkCVUZSI9AOwBTVqBSoDAWqk6JATRAzUaDKSGoE2g6YqhqVApWhQHVSFKgJYiYKVBlJjUDbAq+rRqVAZShQnRQFaoKYiQJVRlIj0JOAN1WjUqAyFKhOigI1QcxEgSojqRHoCcBbqlEpUBkKVCdFgZogZqJAlZHUCPQ44J1qBRSoDAWqk6JATRAzUaDKSGoEeizwnmpUClSGAtVJUaAmiJkoUGUkNQI9BvhANSoFKkOB6qQoUBPETBSoMpIagR4NfKQalQKVoUB1UhSoCWImClQZSY1AjwRmq0alQGUoUJ0UBWqCmIkCVUZSI9DDgI9Vo1KgMhSoTooCNUHMRIEqI6kRaBtgrmpUClSGAtVJUaAmiJkoUGUkNQL9OTBPNSoFKkOB6qQoUBPETBSoMpIagR4MfKkalQKVoUB1UhSoCWImClQZSY1ADwAWqEalQGU2ukC/Eaz1fu/fFOcH91uNlFfiKo3YNzU/6qQ8gerE1milKvtzFvx6KVAZCjRajxBoa2CRalQKVGajC5RUFApUhgKN1iMEui+wVDUqBSqz0QVaW3+ZJcC/QCtH/n2WAk2OpEag+6BKOSoFKrPRBZrbMl8DjcDXQOUIBVqJeoRA90Qj5agUqAwFqpOiQE0QM1GgykhqBLobmihHpUBlKFCdFAVqgpiJAlVGUiPQXdBUOSoFKkOB6qQoUBPETBSoMpIage6ELZWjUqAyFKhOigI1QcxEgSojqRHo9mihHJUClaFAdVIUqAliJgpUGUmNQFuipXJUClSGAtVJUaAmiJkoUGUkNQLdGtspR6VAZShQnRQFaoKYiQJVRlIj0ObYUTkqBSpDgeqkKFATxEwUqDKSGoE2QyvlqBSoDAWqk6JATRAzUaDKSGoEuhl2U45KgcpQoDopCtQEMRMFqoykRqBNsLtyVApUhgLVSVGgJizP4v3E3y0vwnfut8Uj7upimeUbVhWPuDVFM6s0Ip52imVWFI9867pr85drrZ7cfSYr0IbYS3lno0BlKFCdFAVK6h25+0xWoFX4ifLORoHKUKA6KQrUhO+yrPWG/K4IK90fikfctcUy321YUzRS49YUzazRiLjuj8UyP+hE3HX5y7VWT+4+kxHoEmA/5Z2NApWhQHVSFKgJYia+BqqMpOU10IVAa+WoFKgMBaqTokBNEDNRoMpIWgT6FXCQclQKVIYC1UlRoCaImShQZSQtAv0COEQ5KgUqQ4HqpChQE8RMFKgykhaBfgb8QjkqBSpDgeqkKFATxEwUqDKSFoF+AhymHJUClaFAdVIUqAliJgpUGUmLQOcARyhHpUBlKFCdFAVqgpiJAlVG0iLQ/wFHKUelQGUoUJ0UBWqCmIkCVUbSItAPgd8oR6VAZShQnRQFaoKYiQJVRtIi0PeB3ylHpUBlKFCdFAVqgpiJAlVG0iLQd4FjlaNSoDIUqE6KAjVBzESBKiNpEejbwB+Uo1KgMhSoTooCNUHMRIEqI2kR6HTgj8pRKVAZClQnRYGaIGaiQJWRtAj0DeBk5agUqAwFqpOiQE0QM1GgykhaBPoa0FY5KgUqQ4HqpChQE8RMFKgykhaBvgq0V45KgcpQoDopCtQEMRMFqoykRaAvA6coR6VAZShQnRQFaoKYiQJVRtIi0MlAF+WoFKgMBaqTokBNEDNRoMpIWgT6HNBNOSoFKkOB6qQoUBPETBSoMpIWgT4DdFeOSoHKUKA6KQrUBDETBaqMpEWgk4A/K0elQGUoUJ0UBWqCmIkCVUbSItAngF7KUSlQGQpUJ0WBmiBmokCVkbQI9DGgt3JUClSGAtVJUaAmiJkoUGUkLQKdAPRRjkqBylCgOikK1AQxEwWqjKRFoA8D5yhHpUBlKFCdFAVqgpiJAlVGNpJAJZ4CBm68rRMzcvccCjQCBSpHKFCL/CDw7pFrvIvxwMU/qFjl/qj8em51q3Vyq9yVOrG1Xu06udV6q1unubo1bvFMuLroL6XW+suQu+dQoBEoUDlCgVainuxT+AeAi5Sj8im8DJ/C66QoUBPETBSoMpIWgd4PXKIclQKVoUB1UhSoCWImClQZSYtA7wEuU45KgcpQoDopCtQEMRMFqoykRaB3AVcqR6VAZShQnRQFaoKYiQJVRtIi0OHAIOWoFKgMBaqTokBNEDNRoMpIWgR6B/AX5agUqAwFqpOiQE0QM1GgykhaBHobcJ1yVApUhgLVSVGgJoiZKFBlJC0CvQUYohyVApWhQHVSFKgJYiYKVBlJi0BvBoYqR6VAZShQPHTTigAAGEVJREFUnRQFaoKYiQJVRtIi0JuAm5SjUqAyFKhOigI1QcxEgSojaRHojcDNylEpUBkKVCdFgZogZqJAlZG0CHQIcItyVApUhgLVSVGgJoiZKFBlJC0CvQ64TTkqBSpDgeqkKFATxEwUqDKSFoH+BbhDOSoFKkOB6qQoUBPETBSoMpIWgQ4ChitHpUBlKFCdFAVqgpiJAlVG0iLQK4G7lKNSoDIUqE6KAjVBzESBKiNpEehlwD3KUSlQGQpUJ0WBmiBmokCVkbQI9BLgfuWoFKgMBaqTokBNEDNRoMpIWgR6EfCAclQKVIYC1UlRoCaImShQZSQtAr0AeFA5KgUqQ4HqpChQE8RMFKgykhaBng+MU45KgcpQoDopCtQEMRMFqoykRaDnAOOVo1KgMhSoTooCNUHMRIEqI2kRaB9ggnJUClSGAtVJUaAmiJkoUGUkLQLtDTymHJUClaFAdVIUqAliJgpUGUmLQHsBTyhHpUBlKFCdFAVqgpiJAlVG0iLQPwOTlKNSoDIUqE6KAjVBzESBKiNpEWh34BnlqBSoDAWqk6JATRAzUaDKSFoE2g14TjkqBSpDgeqkKFATxEwUqDKSFoF2ASYrR6VAZShQnRQFaoKYiQJVRtIi0FOAl5WjUqAyFKhOigI1QcxEgSojaRFoe+BV5agUqAwFqpOiQE0QM1GgykhaBNoWeE05KgUqQ4HqpChQE8RMFKgykhaBngy8oRyVApWhQHVSFKgJYiYKVBlJi0D/CExXjkqBylCgOikK1AQxEwWqjKRFoH8A3laOSoHKUKA6KQrUBDETBaqMpEWgxwLvKkelQGUoUJ0UBWqCmIkCVUbSItDfAu8rR6VAZShQnRQFaoKYiQJVRtIi0N8AHypHpUBlKFCdFAVqgpiJAlVG0iLQo4D/KUelQGUoUJ0UBWqCmIkCVUbSItAjgDnKUSlQGQpUJ0WBmiBmokCVkbQI9DDgE+WoFKgMBaqTokBNEDNRoMpIWgT6C+Az5agUqAwFqpOiQE0QM1GgykhaBHoI8IVyVApUhgLVSVGgJoiZKFBlJC0CPQj4SjkqBSpDgeqkKFATxEwUqDKSFoG2BhYqR6VAZShQnRQFaoKYiQJVRtIi0P2AJcpRKVAZClQnRYGaIGaiQJWRtAj0J4B6VApUhgLVSVGgJoiZKFBlJC0C3QsN1aNSoDIUqE6KAjVBzESBKiNpEejuaKIelQKVoUB1UhSoCWImClQZSYtAd8Xm6lEpUBkKVCdFgZogZqJAlZG0CLQVmqlHpUBlKFCdFAVqgpiJAlVG0iLQHdFcPSoFKkOB6qQoUBPETBSoMpIWgW6HrdWjUqAyFKhOigI1QcxEgSojaRFoS7RUj0qBylCgOikK1AQxEwWqjKRFoC2wvXpUClSGAtVJUaAmiJkoUGUkLQLdEjupR6VAZShQnRQFaoKYiQJVRtIi0KbYRT0qBSpDgeqkKFATxEwUqDKSFoE2wW7qUSlQGQpUJ0WBmiBmokCVkbQItBH2VI9KgcpQoDopCtQEMRMFqoykRaBV2Ec9KgUqQ4HqpChQE8RMFKgykhKBLgX2VY9KgcpQoDqpTVqgi27v36nPqBXBdWGn9XmBFSPP7NjnvpXJ1VKgykhKBLoIaK0elQKVqYhA4x5RRR9lFGiUtAj0ja5Ou+6Oc8YSf2Gsk2FeLrDsTMfp4jjnfZ9YLQWqjKREoAuAA9WjUqAylRBo3COq+KOMAo2SEoEu7+Lct7JmXn/nOn/p5hiBDnUGfFnzaW9neGK1FKgykhKBfgkcrB6VApWphEDjHlHFH2UUaJSUCPRO52/+xTdd2vl/gl6cb86QFR06LfYu5jqnrkmqlgJVRlIi0HnAz9WjUqAyFRBo3CNK41FGgUZJiUDPdT4KLkc441y3plu7tYWBSc71weUAZ1pStRSoMpISgc4F2qhHpUBlKiDQuEeUxqOMAo2SDoGubed8F1x5xhnqPS6cvlJiqPNkcDnGGZFULQWqjKREoB8Dh6lHpUBlKiDQuEeUxqOMAo2SDoGudDICnexc5rpznBteu+H8wQ98nZe4zHk7uHzBN2x8tRSoMpISgc4GjlSPSoHKVECgcY8ojUcZBRolHQJ1z3BmBZejnD6uO8XpELyFdNqbuUDfTOAN54rMLR9ND/hyRRbvJ/5+RRF+0Im4a4plVmxYXTzi1hTNrNaIeL/6Ypnvi0e8BtfmL5dbmDa5+0wo0I+Ao9V3NgpUpgIClR9RikfZm08Inp08+f89UZynNFOTn9aIPfGCVmry5Od1Ys/qpSr6cy6IllG2QIc6N/sXy7s6p7nuOMe5//OVMy93uiwTgVOd+cHlB865mVvOaBMgvV9IUkXuMR8K9APgGLUsKFCZCghUfkQpHmU9QKxyb7SMsgX6RXtn5Fc/zDjb8Zt79ubn/dvW93fuEIGuotre0Wop0HSTe8xnPkg//cXpallQoDIVEKj8iFI8yihQy9gWqPtcR/9Je4dRzlW526Y4/cX1vs7s4PIN59LMLaNvDJiyKst677n3qiKs0Ym464tlVtWsKx5x3aKZdTXFI95z72KZ1cV/qtUFP1XZhemSe8xn9oUvCgUqU5Gn8IWPKMWj7JbegrP79u2tQR/NVN8+OjnNlN5oZ5+tlaroz/l6tAwLu3LOHXHxwFGfTQ2fyofMczqIfTkvd94JLic7NxZ8Y/59lm8iJUdS8iZScShQmQoINO4RpfEo45tIUVLyJlKWR53RuYVFTrea7PWhzlPB5VhpJwkxEwWqjFCgSjY5gcY9ojQeZRRolJQIdO77y4PLgc777qp+/cKDGczwP9OUYVLm/8RLnVeTqqVAlREKVMkmJ9C4R5TGo4wCjZISgY5x7vQvZjlneU/ar3EmBjcOdsaKwIoOXf2P3ixqx105ZShQBRRoPHGPKI1HGQUaJSUC/axdu2c3rHv3NOdFb2Ga03Hyenf5MKeX/17HhHEz/cRQ55qV7ooBzl2F3ypmokCVEQpUySYn0OgjSvtRRoFGSYlA3Uccp1Nnx7kreNFzlON08I9tF3TaxXnYv1jWy+nQr53TTzpUoZiJAlVGKFAlm55AI48o7UcZBRolLQJ1Z1zZ/dQrpoZvGtVMH9Sry8B7wr07M9W6K0b06tB79I/SN4qZKFBlhAJVsukJNPKI0n6UUaBRUiNQY8RMFKgyQoEq2QQFalYjBRqBApUjFGgl6qFA46BAKVCXAo2DAo3WQ4HGQYFSoC4FGgcFGq2HAo2DAqVAXQo0Dgo0Wg8FGgcFSoG6FGgcFGi0Hgo0DgqUAnUp0Dgo0Gg9FGgcFCgF6lKgcVCg0Xoo0DgoUArUpUDjoECj9VCgcVCgFKhLgcZBgUbroUDjoEApUJcCjYMCjdZDgcZBgVKgLgUaBwUarYcCjYMCpUBdCjQOCjRaDwUaBwVKgboUaBwUaLQeCjQOCpQCdSnQOCjQaD0UaBwUKAXqUqBxUKDReijQOChQCtSlQOOgQKP1UKBxUKAUqEuBxkGBRuuhQOOgQClQlwKNgwKN1kOBxkGBUqAuBRoHBRqthwKNgwKlQF0KNA4KNFoPBRoHBUqBuhRoHBRotB4KNA4KlAJ1KdA4KNBoPRRoHBQoBepSoHFQoNF6KNA4KFAK1KVA46BAo/VQoHFQoBSoS4HGQYFG66FA46BAKVCXAo2DAo3WQ4HGQYFSoC4FGgcFGq2HAo2DAqVAXQo0Dgo0Wg8FGgcFSoG6FGgcFGi0Hgo0DgqUAnU3rkAFd/fs+YmF1XzUs+doC6txL+jZx8ZqxvfsOcPCahb07HmbhdWUw/M9e062uLqJPXtOs7i6h3r2fNfi6u7t2XO2xdXd0bPnFxZXVw639ey5wNrK3ujZ83FrK9vQs+cV1lZWuz9nKgR6XZs2H1hYzVtt2vzNwmrck9r8xsZq7mzT5mULq5nbps1lFlZTDg+3aTPe4uruadPmGYuru61Nm6kWV/fXNm1s+vjKNm0+tri6crisTZu51lb2XJs2d1tb2YY2bbpYW1nt/pwUqAwFWgAFag4FqgEFWh4UqAIKtAgUqCYUqAEUaOlQoAVQoOZQoBpQoOVBgSqgQItAgWpCgRpAgZYOBVoABWoOBaoBBVoek4cNW2RhNfOHDZtiYTXufcPusrGaacOG2ejx62HDnrawmnL477Bh/7W4ureGDZtjcXWvDxv2ucXVvTRsmL0Pwbjus8OGLbO4unJ4etiwr62tbM6wYdOtrWzDsGEPWVtZ7f6cqRAoIYTURShQQggxhAIlhBBDKFBCCDGEAiWEEENSINAVI8/s2Oe+leYrqL79wi7n3vx5cF0ca2l9yauJfmvZU5U1zmRnYeZaZA47Q5WItY1a6ilDJeqKX3fJpKk9gaWt2yyxghWWN1oJBW58gS4703G6OM5535uu4N2ujtOzndPhKX9hrJNhXsnriXyr8VTdHcEnxuPUXJNtMDJH2b8qE6xt1FZPGezUlcVKbRnS1J7A0tatlmi1QosNllLgxhfoUGfAlzWf9naGG37/2rOdm751V452OnzuLd1s/ouLfKvxVHk9zjUdZ8NEJ9tgZI5yf1VG2NqotZ4y2Kkri43aMqSqPYGdrdst0WqF9hosqcCNLtAVHTot9i7mOqeuMVvBZOfMtf7lLc7N3r8Xmz8i87/VfKrsQVqnOdfXmI0z49beTrbByBxl/6pMsLZRaz1lsFNXlvJry5Cu9gSWtm63RKsV2mqwxAI3ukAnOdcHlwMcw4Ps3u2MDS7fd871/vju1m6t4SCRby17qjXn9lhuOM6w4H/OhfIcZQ9lgrWN2uopg926spRRW4Z0tSewtHWrJVakwrIbLLHAjS7Qoc6TweUYZ4TZCq51wj2h5zmdXPc7p6/pIJFvLXuq+5zphevUZencuXNPzTQYmaPsoUywtlFbPWWwW1eWMmrLkK72BJa2brXEilRYdoMlFrjRBXqZ83Zw+YIz1GwFn88O3xab7JzvunOcG1674fzBDxjsCxv51nKnmtPuZmmdpdA902BkjrJ/VSZY26itnjJYrUustMzaMqSnPYGlrVstsRIV2mmwhAI3ukD7OrOCyzec8s6K8v3ZzkOuO8XpEPwFftqbJa8g8q1lTlVzZfsF0jpLIdtgZA5bv6qSsL3RsnvKYLOuLGXXliE97Qnsbt1OiRWo0FKDJRS40QV6qjM/uPzAf1XFnAUDnDO+dd1xjnP/5ytnXu50KfkQOJFvLXOqt5075XWWQrbByByWflWlYXmj5feUwWZdWcquLUN62hNY3bqlEitQoaUGSyhwowu0qxirt/lK1o7v5HT3jx337M3P+8vr+zt3lLqOyLeWN1XNgFOq5XWWQrbByBxWflWlYnWjNnrKYLGuLOXXliE97Qksbt1aifYrtNVgCQVudIH2dcKTyL7hXGq8jnn9HOfqyAmbpzj9TVcWfGt5U81wbolZZynknkPkzWHjV1UyNjdqtaf8NdgZsvzaMqSnPYG9rdsv0V6FthosocCNLtDLnXeCy8nOjaareO4U5/QpNZGb5jkdTPcRDL61vKn+6rwXs85SyDYYmcPCr6p0LG7Ubk/5a7AzZPm1ZUhPewJrW69AifYqtNVgCQVudIEOdYK9wtyxxrsgvOI4Qwv3oF3kdKuJDRcn+Nayplre/swNZY7TXXyOIm+O8n9VBtjbqOWe8tdgZUgLtWVIT3sCW1uvRInWKrTWYAkFbnSBTsr4/FLnVbMVLDzFGZv9Ja3q1y9sd4ZT6nmEot9a1lQTnDHljtNdfJI3b46yf1UmWNuopZ5i12BlSAu1ZUhPewJLW7dZov0KrTVYQoEbXaArOnRd4V0same6C9do57bcwjXOxOBycGaPiRKIfGtZUw1wZpY7TnexL1neHGX/qkywtlFbPcWtwcqQFmrLkJ72BJa2brVE6xVaa7CEAje6QL2/jK9Z6a4Y4JieyK238+byEO/Hm+Z0nLzeXT7M6bWq1PVEv7WMqb5xOmR/w8bjZBuMzlHur8oIWxu11VMGa3VlsVFbhhS1J7Czdasl2q7QXoMlFLjxBbqsl9OhXzunn+GBANfmDsLif7pglON06O44Z8ws+o0SkW8tY6opzsD4dZaAaDAyR5m/KjMsbdReTxls1ZXFRm0ZUtSewMrWLZdouUJ7DZZQ4MYXqLtiRK8OvUf/aPjdC6Kd1kwf1KvLwHu+M1hT9FvNp7rVuS9hnfqIBqNzlPerMsTORu31lMFWXVls1JYhTe0JbGzdcomWK7TXYAkFpkCghBBSN6FACSHEEAqUEEIMoUAJIcQQCpQQQgyhQAkhxBAKlBBCDKFACSHEEAqUEEIMoUAJIcQQCpQQQgyhQAkhxBAKlBBCDKFA8wFMTxJJNgbsq85T1yukQPMxavM14BD7oxAN2Fedp65XSIHmU9fb3NRgX3Weul4hBZpPXW9zU4N91XnqeoUUaD5Gba5ZtKja/ihEA/ZV56nrFVKg+dT1V7Q3NdhXnaeuV1hfBLp88K9bNW3dcWp2+bWuB7XYYv+2T6wPlrbFxJp7D99qizb31rjfXrXv5jv+7ln/5nuwn7v0qv023/a3o9YFOdHmir8evk3T1n+eVlO4nbitbYEh3r83IYfWSjZp2FedhxX61BOBTt0q83u8KFhc2zn7ez0pqGlbPNIpXL5i3l7hlVFu0Ob7u4SLRyzzc9k2X9s+8+1nxZ6kumBrCW0WWckmDfuq87DCgPoh0IXbo8lZ9z187Q7AU/7yP4FdBj/00ODdgVv85W1xAE55/NWrGnm34/RJL50HbL3ab3PnPXDwNff33xH49QZXtDmzKRqfNfLBy706umtsLWxz2ayQMcCxGivZpGFfdR5WGFI/BHof8Kh/ObsxzvIvj8LuwYvMy3ZBW/9yW+//Qf+v+iHef063+jecDcz02wS6ea26C34JPOBm26w5Aq0+9lPf/BF4ofjWwjYzLNkVuy7RWMkmDfuq87DCkPoh0P5oGL6iclH7y71/12yGv4RfOB37+RfbYrdV/uUc4FD/vz33JeDpoM2dgtvdTxrgSDfb5jRgcvjty1ri9KJbi7S59rdo/B9XYyWbNOyrzsMKQ+qHQG/I/AclcUq2zfBP+pVA8Pv3a50UtDk0EzwNjddn27wG223I3NwRexbfWn6bFwN3BVeKrWSThn3VeVhhSP0Q6MwmwJGjvozeuGH+hF7ItnlVcNMqYHhw5ZNsmy9nwrcD87JtnpT32jSaFd9aXpvjgF7hO4DFVrJJw77qPKwwpH4I1H00ePtt97OeWhsuLxvR6aDNg19kps1Bwc1emyODK6LNzzMreDIoNmzzsPwisK7o1nJt/rcpDv0xvFp0JZs07KvOwwoD6olA3W/uPL6x/2s78G1/acLWwa/7+GtPLtbmwsz3Pws8nm3zUPx8fo4N8sYKtibaXL43Wn6eiRRfySYN+6rzsEKf+iJQj5UvXbMb0Oob132vIba+euoP3m3nFGvzjcw33wm8km3zOGxbytZEm+tPRNVz2a9rrWSThn3VeVhhPRFodfX3weX664HHXPdcNPww/EKPYm2OzKzhDGBpts0Lga8yNz8x+pWiWxNtXoO8l7aLrWSThn3VeVhhSP0QaCv8LrwyCxjhun9A63Bxw27F2tw33PHss0Y42M22+STQL/z+j6tE3clby7b5BODknjcUW8kmDfuq87DCkPoh0LZo9E5wZTDwluueha1W+ks1A4B9/CvJbeJC/8XmhUeEXwjbXLcnGvn/zbkrj0KTZUW3lmlzdnP85JtcqNhKNmnYV52HFYbUD4GOB7a+7N9PjDgJ+Pla130IOG7Klx+MDd6We2SZqs0tcPiQ0RfuBBzmt5rZr+zFKqDznY8O3QO4p/jWwjZXtUbVQx9m+Lr4SjZp2FedhxWG1A+BuudnP7zw0wXeUk2XzNKJ47x/2qvafGHrMNnG3xdMHNlgQtPw1sY3aGwtbHNR/kcoRmqsZJOGfdV5WGFAPRGoO63LwVs32//kf4ef/tow7retmuze/YUa97YdWl6qavP7hRfs1WTrX48sOLbWV5cf3Lz5L8/+VGtrCW0WW8kmDfuq87BCn/oiUCP8Njf2DEQf9lXnqXcVUqCkzsC+6jz1rkIKlNQZ2Fedp95VSIEWY8GsAmbXwmQkDvZV56l3FVKgxeiBAraohclIHOyrzlPvKqRAizH9kQIer4XJSBzsq85T7yrcpAVKCCHlQIESQoghFCghhBhCgRJCiCEUKCGEGEKBEkKIIRQoIYQYQoESQoghFCghhBhCgRJCiCEUKCGEGEKBEkKIIRQoIYQYQoESQoghFCghhBjy/wF5qewgeHi0jAAAAABJRU5ErkJggg==" width="672" /></p>
</div>
<div id="sampling-any-statistics" class="section level1">
<h1>Sampling any statistics</h1>
<p>The beauty is that it is not just the sample mean that approximate the normal distribution under the repeated sampling, it is actually any statistic. Here, we make a simulation of the median, max and min to see what happens to the sampling distribution of those statistics</p>
<pre class="r"><code>all_df<-data.frame()
for(i in 1:1000){
my_sample<-rnorm(50,100,20)
sample_mean<-mean(my_sample)
sample_sd<-sd(my_sample)
sample_max<-max(my_sample)
sample_median<-median(my_sample)
t_df<-data.frame(i,sample_mean,sample_sd,sample_max,sample_median)
all_df<-rbind(all_df,t_df)
}
library(ggpubr)
a<-ggplot(all_df,aes(x=sample_mean))+
geom_histogram(color="white")+
theme_classic()
b<-ggplot(all_df,aes(x=sample_sd))+
geom_histogram(color="white")+
theme_classic()
c<-ggplot(all_df,aes(x=sample_max))+
geom_histogram(color="white")+
theme_classic()
d<-ggplot(all_df,aes(x=sample_median))+
geom_histogram(color="white")+
theme_classic()
ggarrange(a,b,c,d,
ncol = 2, nrow = 2)</code></pre>
<p><img 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" width="672" /></p>
<p>More than that, you don’t even need normally distributed numbers to sample from. You can actually sample from ANY distribution and, under a larger N, you still get a normal distribution of the sampling distribution of the mean (but not necessarily for other statistics)! That should make you pause. This means that despite the underlying distribution of the things we want to study we still end up with a normal shape for the sampling distribution of the mean (given you have enough N). While you are at that pause, let’s make a simulation with a uniform distribution and see what happens:</p>
<pre class="r"><code>all_df<-data.frame()
for(i in 1:1000){
my_sample<-runif(50,min=0,max=100) # Here we changed the distribution of the samples
sample_mean<-mean(my_sample)
sample_sd<-sd(my_sample)
sample_max<-max(my_sample)
sample_median<-median(my_sample)
t_df<-data.frame(i,sample_mean,sample_sd,sample_max,sample_median)
all_df<-rbind(all_df,t_df)
}
library(ggpubr)
a<-ggplot(all_df,aes(x=sample_mean))+
geom_histogram(color="white")+
theme_classic()
b<-ggplot(all_df,aes(x=sample_sd))+
geom_histogram(color="white")+
theme_classic()
c<-ggplot(all_df,aes(x=sample_max))+
geom_histogram(color="white")+
theme_classic()
d<-ggplot(all_df,aes(x=sample_median))+
geom_histogram(color="white")+
theme_classic()
ggarrange(a,b,c,d,
ncol = 2, nrow = 2)</code></pre>
<p><img 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" width="672" /></p>
<p>See that except for the <code>max</code>, all other distributions are actually normal. Essentially this means that CTL gave us a green light to sample from any distribution out there and we’ll be assured that we can get to the mean of that distribution as N gets larger.</p>
</div>
<div id="the-confidence-intervals" class="section level1">
<h1>The Confidence Intervals</h1>
<p>Now that we know the concept of standard error (which is the standard deviation of the sampling distribution of the mean), and since we know that the means should look like a normal distribution (as you increase your N), we want to discuss how to use those insights to come up with a confidence interval for any estimate.</p>
<p>Let’s say that we sampled few people, and measured their heights. We got a mean of 5.5 feet and a standard deviation of 3. How can we use the standard error of the mean to come up with some quantity that reflects our confidence of that estimate. In other words, had I taken another random sample, how far my estimate should move? If I have taken many many samples, what is the most probable values of the average heights that I should observe, say, 95% of the time?</p>
<p>We already know the answers to all those questions! Given that the mean height of repeated sampling approximate a normal distribution, and given what we know about the normal distribution probabilities, we can devise a tool that tells us what is the required range of values that contains 68% of the possible means (around a given mean) – or any other percentage, this is just an example.</p>
<p>Remember, in a z-distribution, the mean is zero and the standard deviation is one. We can simply find the corresponding z-scores of the probabilities we want to use, and multiply those by the standard error of the mean.</p>
<p><span class="math display">\[
UpperLimit = \bar{x} + Z_{above}*SEM
\]</span> <span class="math display">\[
LowerLimit = \bar{x} - Z_{below}*SEM
\]</span></p>
<p>For example, if we want to find the 68% confidence interval of a given sample mean, we simply calculate the z-score of an area .68 around the mean. Or, .34 above the mean and .34 below the mean (they should be equal)</p>
<pre class="r"><code>#Remember, we have to subtract that area from half of the area
lower_z <- qnorm(p=.5-.34, mean=0, sd=1, lower.tail = TRUE)
upper_z <- qnorm(p=.5+.34, mean=0, sd=1, lower.tail = TRUE)</code></pre>
<p>Which should give us those values:</p>
<pre class="r"><code>c(lower_z, upper_z)</code></pre>
<pre><code>## [1] -0.9944579 0.9944579</code></pre>
<p>meaning that we need to be ~1 standard deviations above or below the mean to include 68% of the values in that distribution. We should multiply those values by the SEM to give the confidence interval. How amazing is that? as the means of sampling means approzimate normal distribution, we just used the probabilities of the normal distribution to compute the bounds!</p>
<p>Let’s make one more simulation to see if those calculations are true. Here we will simulate a population, then sample from it and use the confidence intervals to test of the sampled mean values always within that interval:</p>
<pre class="r"><code>population <- rnorm(n=100, mean=100, sd=15)
sample_n <- sample(population, size=10, replace=FALSE)
paste('mean of the sample is: ', mean(sample_n))</code></pre>
<pre><code>## [1] "mean of the sample is: 104.557724702423"</code></pre>
<pre class="r"><code># calculate confidence interval
SEM <- sd(sample_n)/sqrt(length(sample_n))
upper_limit <- mean(sample_n) + 1 * SEM
lower_limit <- mean(sample_n) - 1 * SEM
paste('Upper limit is: ', upper_limit)</code></pre>
<pre><code>## [1] "Upper limit is: 108.559530220211"</code></pre>
<pre class="r"><code>paste('Lower limit is: ', lower_limit)</code></pre>
<pre><code>## [1] "Lower limit is: 100.555919184635"</code></pre>
<p>Do the upper limit and the lower limit surround the population mean (here is 100)? You might want to run the previous cell many times to see how many times you see it within or outside the interval. Remember, those calculations say that 68% of the time you should observe the mean within those bounds. Let’s a lot more samples and calculate the times we are within those bounds (do they equal to 68%?):</p>
<pre class="r"><code>sample_means <- c()
sample_sds <- c()
sample_size <- 50
n_experiments <- 100
for (i in 1:n_experiments) {
sample_n <- rnorm(n=sample_size, mean=100, sd=15)
sample_means[i] <- mean(sample_n)
sample_sds[i] <- sd(sample_n)
}
SEM <- sample_sds/sqrt(sample_size)
sample_upper_limit <- sample_means + 1 * SEM
sample_lower_limit <- sample_means - 1 * SEM</code></pre>
<p>Now, let’s make a ggplot that have the means, upper limits and lower limits as lines:</p>
<pre class="r"><code>my_df<- data.frame(n=1:n_experiments,
means=sample_means,
lower_limit=sample_lower_limit,
upper_limit=sample_upper_limit)
ggplot(my_df, aes(x=n, y=means))+
geom_segment(aes(y=lower_limit, yend=upper_limit, x=n, xend=n))+
geom_point(color='red') +
geom_point(aes(y=lower_limit)) +
geom_point(aes(y=upper_limit)) +
geom_hline(yintercept = 100)</code></pre>
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" width="672" /></p>
<p>Now, we should expect that only 68% of the lines contain the true population mean (which is 100).</p>
<pre class="r"><code>mean(100 < my_df$upper_limit & 100 > my_df$lower_limit)</code></pre>
<pre><code>## [1] 0.63</code></pre>
<p>That was a feat. The value might be a little bit above or below .68, but try increasing the number of sampling trials (i.e., <code>n_experiments</code>) and you should expect the value to be closer and closer to .68.</p>
</div>
<div id="recap" class="section level1">
<h1>Recap:</h1>
<p>What is the Central Limit Theorem ?</p>
<ol style="list-style-type: decimal">
<li><p>If you make samples from any distribution and record their means (or any statistics), then the means of those samples should approximate a normal distribution (provided you have large N)</p></li>
<li><p>The mean of the sampling distribution of the means (or the mean of the means) should approximate the true population mean from which those samples are drawn from (provided you have a large N)</p></li>
<li><p>The larger the sample size that is drawn, the more accurate you will be to the normal distribution and the smaller is the standard deviation of the sampling distribution of the mean.</p></li>
</ol>
<p>I hope that you now understand why it makes sense to call a few hundred voters to estimate the % of AMERICAN PEOPLE voting for candidate X. Or more importantly, why do we only ask a few subjects (either humans or non-human samples) and generalize those observations to reflect the true state of the world. However, those samples MUST BE randomly sampled from the population. All the three points above rely on the fact that those samples are randomly sampled.</p>
</div>
<div id="if-you-want-to-read-more" class="section level1">
<h1>If you want to read more:</h1>
<ul>
<li><a href="https://en.wikipedia.org/wiki/Standard_error" class="uri">https://en.wikipedia.org/wiki/Standard_error</a> (nice derivation of the standard error formula)</li>
</ul>
</div>
<div id="exercises" class="section level1">
<h1>Exercises</h1>
<ul>
<li>Explain the concept of sampling error.</li>
<li>Explain why the standard deviation of the sampling distribution of mean gets smaller as sample size increases.</li>
<li>Make a simulation that shows how the SEM form a sample changes as you change the standard deviation of the population (modify the code above; do not change other parameters).</li>
<li>Let’s say I know that my estimate of a given mean is very close to 50 and the standard deviation is 20 (based on previous studies). Make a simulation that shows me how the SEM changes as a function of sample size (go from 1 to 100).</li>
<li>In the confidence interval simulations, what happens if you sample from a very small sample sizes? (change <code>sample_size</code> to some small number like 2 and re-run those two cells without changing anything – what do you notice in the plot? You don’t need to paste the code, just re-run the code multiple times)</li>
</ul>
</div>
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