Fix a batch of typos that have been reported

ch_foundations_for_inf/TeX/ch_foundations_for_inf.tex

@@ -654,8 +654,8 @@ \subsection{Applying the Central Limit Theorem to
 We do not actually know the population proportion
 unless we conduct an expensive poll of all individuals
 in the population.
-Our earlier value of $p = 0.88$ was based on
-a Pew Research conducted a poll of \pewsolarpollsize{}
+Our earlier value of $p = 0.88$ was based on poll
+conducted by Pew Research of \pewsolarpollsize{}
 American adults that found
 $\hat{p} = \pewsolarpollprop{}$ of them favored
 expanding solar energy.

ch_inference_for_means/TeX/ch_inference_for_means.tex

@@ -1239,7 +1239,7 @@ \subsection{Inference for paired data}
   $H_0$ is true,
   and the p-value is represented by the two shaded tails:
   \begin{center}
-  \Figures[A bell-shaped distribution is shown, with a center of mu-sub-0, which has a value of 0. The area under the distribution above x-bar-sub-diff equals 3.98 is shaded, as is the corresponding tail below -3.98.]{0.53}{textbooksF18}{textbooksF18HTTails}
+  \Figures[A bell-shaped distribution is shown, with a center of mu-sub-0, which has a value of 0. The area under the distribution above x-bar-sub-diff equals 3.58 is shaded, as is the corresponding tail below -3.58.]{0.53}{textbooksF18}{textbooksF18HTTails}
   \end{center}
   The degrees of freedom is
   $df = \uclabookN{} - 1 = \uclabookDF{}$.

ch_inference_for_means/figures/textbooksF18/textbooksF18HTTails.R

@@ -20,6 +20,6 @@ normTail(L = -abs(m),
          # border = COL[4],
          axes = FALSE)
 at <- c(-100, 0, m, 100)
-labels <- expression(0, mu[0]*' = 0', bar(x)[diff]*" = 3.98", 0)
+labels <- expression(0, mu[0]*' = 0', bar(x)[diff]*" = 3.58", 0)
 axis(1, at, labels, cex.axis = 0.9)
 dev.off()

ch_intro_to_data/TeX/ch_intro_to_data.tex

@@ -167,7 +167,7 @@ \subsection{Observations, variables, and data matrices}
 The columns represent characteristics,
 called \termsub{variables}{variable},
 for each of the loans.
-For example, the first row represents a loan of \$7,500 with an interest rate of 7.34\%, where the borrower is based in Maryland (MD) and has an income of \$70,000.
+For example, the first row represents a loan of \$22,000 with an interest rate of 10.90\%, where the borrower is based in New Jersey (NJ) and has an income of \$59,000.
 
 \begin{exercisewrap}
 \begin{nexercise}
@@ -178,7 +178,7 @@ \subsection{Observations, variables, and data matrices}
 in the footnote.\footnotemark{}
 \end{nexercise}
 \end{exercisewrap}
-\footnotetext{The loan's grade is A,
+\footnotetext{The loan's grade is B,
   and the borrower rents their residence.}
 
 In practice, it is especially important to ask clarifying
@@ -476,7 +476,7 @@ \subsection{Types of variables}
 The \mbox{\var{num\us{}migraines}} variable represents the number
 of migraines the patient experienced during a 3-month period.
 \mbox{Classify} each variable as either numerical or
-categorical?\footnotemark
+categorical.\footnotemark
 \end{nexercise}
 \end{exercisewrap}
 \footnotetext{The

ch_regr_mult_and_log/TeX/ch_regr_mult_and_log.tex

@@ -1044,7 +1044,7 @@ \subsection{Two model selection strategies}
       \var{credit\us{}checks} \\
   &
       $R^2_{adj} = 0.12855$ &
-      $R^2_{adj} = -$<$0.00018$ &
+      $R^2_{adj} = 0.00018$ &
       $R^2_{adj} = 0.01711$ \\
   \end{tabular}
   \end{center}

ch_summarizing_data/TeX/ch_summarizing_data.tex

@@ -2093,7 +2093,7 @@ \subsection{Comparing numerical data across groups}
       and hollow histograms (right panel) for
       \var{med\us{}hh\us{}income},
       where the counties are split by whether there was
-      a population gain or loss.}
+      a population gain or there was no gain.}
   \label{countyIncomeSplitByPopGain}
 \end{figure}
 

extraTeX/eoceSolutions/eoceSolutions.tex

@@ -138,7 +138,7 @@ \chapter{Exercise solutions}
 \eocesol{(a)~Simple random sample. Non-response bias, if only those people who have 
 strong opinions about the survey responds his sample may not be representative 
 of the population.
-(b)~Convenience sample. Under coverage bias, his sample may not be 
+(b)~Convenience sample. His sample may not be 
 representative of the population since it consists only of his friends. It is 
 also possible that the study will have non-response bias if some choose to not 
 bring back the survey.
@@ -1723,8 +1723,8 @@ \chapter{Exercise solutions}
 
 \eocesol{Paired, data are recorded in the same cities at two
 different time points. 
-The temperature in a city at one point is not independent
-of the temperature in the same city at another time point.}
+The air quality in a city at one point is not independent
+of the air quality in the same city at another time point.}
 
 % 17
 
@@ -1988,16 +1988,13 @@ \chapter{Exercise solutions}
 pairwise test. $H_0$: The two means are equal. $H_A$: The two means are 
 different. The sample sizes are equal and we use the pooled SD, so we can 
 compute $SE = 3.7$ with the pooled $df = 39$.
-The p-value for Trmt 1 vs. Trmt 3 is the only one under 0.05:
-p-value = 0.035 (or 0.024 if using $s_{pooled}$
-in place of $s_1$ and $s_3$, though this won't
-affect the final conclusion).
-The p-value is larger than $0.05 / 3 = 1.67$,
-so we do not have strong evidence to conclude that
-it is this particular pair of groups that are different.
-That is, we cannot identify if which particular pair of
-groups are actually different, even though we've rejected
-the notion that they are all the same!}
+Looking at the largest difference, Trmt 1 vs Trmt 3:
+$Z = \frac{6.21 - (-3.21)}{3.7} = 2.52$ on $df = 39$ yields a p-value of 0.015.
+Because this is smaller than $0.05 / 3 = 1.67$,
+we have strong evidence to that this particular pair of groups are different.
+When doing similar calculations for Trmt 1 vs 2 or 2 vs 3, we do not
+find any statistically significant difference.
+(Note that we get a different result if not using the pooled result.)}
 
 % 47
 

main.tex

@@ -1,6 +1,6 @@
 \documentclass[10pt,openany]%,oneside]
 {book}
-\newcommand{\versiondate}[0]{May 27th, 2023}
+\newcommand{\versiondate}[0]{Dec 27th, 2024}
 
 \usepackage{
   amsmath, calc,