Student Learning Objectives

$\newcommand{\R}{\mathbb{R}} \newcommand{\Expec}{\mathbf{E}} \newcommand{\Prob}{\mathbf{P}} \newcommand{\Var}{\mathbf{V}} \newcommand{\texttt}[1]{\mathtt{#1}} \newcommand{\lt}{<} \newcommand{\gt}{>} \newcommand{\amp}{&} \definecolor{fillinmathshade}{gray}{0.9} \newcommand{\fillinmath}[1]{\mathchoice{\colorbox{fillinmathshade}{$\displaystyle \phantom{\,#1\,}$}}{\colorbox{fillinmathshade}{$\textstyle \phantom{\,#1\,}$}}{\colorbox{fillinmathshade}{$\scriptstyle \phantom{\,#1\,}$}}{\colorbox{fillinmathshade}{$\scriptscriptstyle\phantom{\,#1\,}$}}} $

Section 4.1 Student Learning Objectives

This section extends the notion of variability that was introduced in the context of data to other situations. The variability of the entire population and the concept of a random variable is discussed. These concepts are central for the development and interpretation of statistical inference. By the end of the chapter the student should:

🔗

Consider the distribution of a variable in a population and compute parameters of this distribution, such as the mean and the standard deviation.
🔗

🔗
Become familiar with the concept of a random variable.
🔗

🔗
Understand the relation between the distribution of the population and the distribution of a random variable produced by sampling a random subject from the population.
🔗

🔗
Identify the distribution of the random variable in simple settings and compute its expectation and variance.
🔗

🔗

🔗

Prev Top Next