os3 slides

Author: mine-cetinkaya-rundel

Chp 1/1-1_case_study/1-1_case_study.tex

@@ -1,3 +1,5 @@
+%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
+
 \section{Case study}
 
 %%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%

Chp 1/1-4_obs_studies_sampling/1-4_obs_studies_sampling.tex

@@ -128,7 +128,7 @@ \subsection{Sampling strategies}
 Randomly select cases from the population, where there is no implied connection between the points that are selected.
 
 \begin{center}
-\includegraphics[width=0.9\textwidth]{1-4_obs_studies_sampling/figures/sampling_methods/srs}
+\includegraphics[width=0.9\textwidth]{1-4_obs_studies_sampling/figures/sampling_methods/simple}
 \end{center}
 
 \end{frame}
@@ -151,7 +151,7 @@ \subsection{Sampling strategies}
 \begin{frame}
 \frametitle{Cluster sample}
 
-\hl{Clusters} are usually not made up of homogeneous observations, and we take a simple random sample from a random sample of clusters. Usually preferred for economical reasons.
+\hl{Clusters} are usually not made up of homogeneous observations. We take a simple random sample of clusters, and then sample \underline{all} observations in that cluster. Usually preferred for economical reasons.
 
 \begin{center}
 \includegraphics[width=0.9\textwidth]{1-4_obs_studies_sampling/figures/sampling_methods/cluster}
@@ -161,6 +161,19 @@ \subsection{Sampling strategies}
 
 %%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
 
+\begin{frame}
+\frametitle{Multistage sample}
+
+\hl{Clusters} are usually not made up of homogeneous observations.  We take a simple random sample of clusters, and then take a simple random sample of observations from the sampled clusters.
+
+\begin{center}
+\includegraphics[width=0.9\textwidth]{1-4_obs_studies_sampling/figures/sampling_methods/multistage}
+\end{center}
+
+\end{frame}
+
+%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
+
 \begin{frame}
 \frametitle{Practice}
 

Chp 1/1-4_obs_studies_sampling/figures/sampling_methods/cluster.pdf

@@ -417,11 +417,11 @@ \subsection{Box plots, quartiles, and the median}
 
 \item The \hl{median} is the value that splits the data in half when ordered in ascending order.
 
-\[ 0,1,\red{2},3,4 \]
+\[ 0,1,\orange{2},3,4 \]
 
 \item If there are an even number of observations, then the median is the average of the two values in the middle.
 
-\[ 0,1,\underline{2,3},4,5 \rightarrow \frac{2 + 3}{2} = \red{2.5} \]
+\[ 0,1,\underline{2,3},4,5 \rightarrow \frac{2 + 3}{2} = \orange{2.5} \]
 
 \item Since the median is the midpoint of the data, 50\% of the values are below it. Hence, it is also the \hl{$50^{th}$ percentile}.
 
@@ -634,7 +634,7 @@ \subsection{Robust statistics}
 \column{0.3\textwidth}
 $\:$ \\
 $\:$ \\
-\soln{\only<2>{\red{median: 80\% \\ mean: 76\%}}}
+\soln{\only<2>{\orange{median: 80\% \\ mean: 76\%}}}
 \end{columns}
 
 {\small