Fixing a couple typos

Author: DavidDiez

ch_inference_for_props/TeX/ch_inference_for_props.tex

@@ -1254,7 +1254,7 @@ \subsection{Large sample framework for a difference in two proportions}
 \begin{align*}
 Z = \frac{(\hat{p}_t - \hat{p}_c) - \text{null value}}{SE} = \frac{0.13 - 0}{0.095} = 1.37
 \end{align*}
-If we look this Z-score up in Appendix~\ref{normalProbabilityTable}, we see that the right tail has area 0.0853. The p-value is twice the single tail area: 0.176. This p-value does not provide convincing evidence that the blood thinner helps. Thus, there is insufficient evidence to conclude whether or not the blood thinner helps or hurts. (Remember, we never ``accept'' the null hypothesis -- we can only reject or fail to reject.)
+If we look this Z-score up in Appendix~\ref{normalProbabilityTable}, we see that the right tail has area 0.0853. The p-value is twice the single tail area: 0.1706. This p-value does not provide convincing evidence that the blood thinner helps. Thus, there is insufficient evidence to conclude whether or not the blood thinner helps or hurts. (Remember, we never ``accept'' the null hypothesis -- we can only reject or fail to reject.)
 \end{example}
 \begin{figure}[ht]
 \centering

ch_inference_foundations/figures/pValueOneSidedSleepStudyExplained/pValueOneSidedSleepStudyExplained.R

@@ -20,11 +20,11 @@ arrows(-1.67, yMax * 0.6,
        length=0.1,
        lwd=1.5)
 text(-1.5, yMax * 0.8,
-     expression('distribution of '*bar(x)),
+     expression('Distribution of '*bar(x)),
      cex=1,
      pos=2)
 text(-1.5, yMax * 0.7,
-     expression('if '*H[0]*' was true'),
+     expression('if '*H[0]*' is true'),
      cex=1,
      pos=2)
 
@@ -35,7 +35,7 @@ arrows(2.56, yMax / 2.3,
        col=COL[1],
        lwd=1.5)
 text(xLoc, 0.83 * yMax,
-     expression('chance of observed '*bar(x)),
+     expression('Chance of observed '*bar(x)),
      pos=4,
      cex=1,
      col=COL[1])

ch_inference_foundations/figures/pValueOneSidedSleepStudyExplained/pValueOneSidedSleepStudyExplained.pdf

@@ -1054,7 +1054,7 @@ \subsection{Contingency tables and bar plots}
 
 \subsection{Row and column proportions}
 
-Table~\ref{rowPropSpamNumber} shows the row proportions for Table~\ref{emailSpamNumberTableTotals}. The \termsub{row proportions}{contingency table!row proportions} are computed as the counts divided by their row totals. The value 149 at the intersection of \resp{spam} and \resp{none} is replaced by $149/367=0.406$, i.e. 149 divided by its row total, 367. So what does 0.406 represent? It corresponds to the proportion of spam emails in the sample that do not have any numbers.
+Table~\ref{rowPropSpamNumber} shows the row proportions for Table~\ref{emailSpamNumberTableTotals}. The \termsub{row proportions}{contingency table!row proportions} are computed as the counts divided by their row totals. The value 149 at the intersection of \resp{spam} and \resp{none} is replaced by $149/367=0.406$, i.e. 149 divided by its row total, 367. So what does 0.406 represent? It corresponds to the proportion of spam emails in the sample that do not include any numbers in the message.
 
 \begin{table}
 \centering

ch_intro_to_data/TeX/ch_intro_to_data.tex

@@ -7,7 +7,7 @@
 
 % _____ Online Version _____ %
 \usepackage[bookmarksnumbered, colorlinks = false, pdfborder = {0 0 0}, urlcolor = oiGB, colorlinks=true, linkcolor = oiGB, citecolor = oiGB, backref = true]{hyperref}
-\newcommand{\versiondate}[0]{August 19th, 2017}
+\newcommand{\versiondate}[0]{July 1st, 2018}
 \newcommand{\printlocation}[0]{}
 
 % _____ Print Version _____ %
@@ -21,7 +21,7 @@
 
 \makeindex
 \include{extraTeX/style/style}
-\include{extraTeX/style/tablet}
+%\include{extraTeX/style/tablet}
 \include{extraTeX/preamble/title}%_derivative}
 \date{}
 \setcounter{tocdepth}{1}