Use the preparation materials to prepare hand-written answers for the following questions. Please ask any questions on the "Questions -- Preparation Guide" on the course Team (see link on the homepage.)
  1. What four attributes must be described to perform a proper univariate EDA for a quantitative variable?
  2. What are four common shapes of a distribution for a quantitative variable?
  3. Describe how the four common shapes of a distribution for a quantitative variable can be identified from a histogram.
  4. Describe how the three most common shapes of a distribution for a quantitative variable can be identified from a boxplot.
  5. What is an outlier for a quantitative variable?
  6. Describe how an outlier can be identified from a histogram.
  7. Each common measure of center for a quantitative variable is paired with a particular measure of dispersion. Which measure of dispersion is paired with each measure of center? Explain why.
  8. Describe when you would use each paired measure of center and dispersion when performing an EDA for a quantitative variable.
  9. What characteristics are described in a univariate EDA for categorical data?
  10. What questions do you have from this reading that you would like me to address? [Please be as specific as possible. Don’t just say “everything” or “I don’t understand anything.” Of course, you can ask questions about the reading before class on MS Teams (see link above).]