% pretest for yAsX
\begin{shinyQuizBank}{yAsXPretest}
  \begin{shinyMCQ}{What does DV stand for?}
    \shinyMCAR{Dependent variable}{Correct!}
    \shinyMCAR{Doubtfull variable}{Wrong!}
    \shinyMCAR{Determinisitic variable}{Wrong!}
    \shinyMCAR{Dominant variable}{Wrong!}
  \end{shinyMCQ}

  \begin{shinyMCQ}{What type of random variable is best characterized with a probability density function (pdf)?}
    \shinyMCAR{a continuous variable}{Correct.  Continuous variables have probability "spread out" over their
               domain, so they require a pdf to characterize them.}
    \shinyMCAR{a categorical variable}{No, categorical variables have "mass" at discrete values}
  \end{shinyMCQ}
  
  \begin{shinyMCQ}{Which of the following could NOT be characterized by a probability mass function (pmf)?}
    \shinyMCAR{number of eggs laid by a hen in her lifetime}{Wrong.  Because the value is discrete (practically,
               zero to a few hundred and theoretically any non-negative integer) a pmf is appropriate.}
    \shinyMCAR{length of an egg}{Correct.  The length is a continuous value between about 0.2 inches and 10 inches, 
               depending on the species and living conditions.  Therefore a pdf is needed to characterize the
               distribution.}
    \shinyMCAR{number of tail feathers}{Wrong.  The word "number" implies discrete values, so a pmf is appropriate.}
    \shinyMCAR{color of a chicken among red, brown, and mixed}{Wrong.  With probabilty mass falling only on three
              possible values, a pmf is appropriate.}
    \shinyMCAR{degree of fearfulness among none, little, moderate, and a lot}{Wrong.  With probabilty mass falling only on 
              four possible values, a pmf is appropriate.}
  \end{shinyMCQ}
  
  \begin{shinyMCQ}{Which of the following is NOT a characterisic of a statistical model?}
    \shinyMCAR{It describes the mean of the DV for each combination of IV values}{No, that is true of statistical models.}
    \shinyMCAR{It describes the distribution of the DV for each combination of IV values}{No, that is true of statistical models.}
    \shinyMCAR{It is typically a useful approximation of the real world}{No, that is true of statistical models.}
    \shinyMCAR{It is typically a faithfull representation of the real world}{You are correct.  Typically models do not
               account for all characteristics of the real world.  They are only useful approximations.}
  \end{shinyMCQ}
\end{shinyQuizBank}
