2. Describing Data with Tables and Graphs

Which of the following would not be a valid way to summarize or visualize a categorical variable?

Which of the following is not a graphical technique used to display numerical ($\mathrm{quantitative}$) data?

What is the best way to represent the shape of a large population of measurements?

Suppose you are given a box plot that is highly skewed to the right, with the median closer to the lower quartile and a long upper whisker. The distribution that has the box plot shown could be described as which of the following?

Which type of information can typically be determined from a pie chart?

Which type of data is best visualized using a scatter plot, such as one showing the population $p$ of a town over several years?

Which type of data is most appropriately visualized using a bar chart?

Which of the following best explains why one graph appears skewed and one graph appears symmetric when visualizing data?

Which of the following best describes the appearance of a normal probability plot that indicates the data are approximately $normally$ distributed?

When visualizing multiple data series on a single graph, what can you do to make the data series easier to distinguish from one another?

A bar chart displays the number of students in each major at a university. What type of data distribution is being visualized?

Which of the following is an example of quantitative data?

Which of the following statements about research data is correct?

The purpose of a chart or graph is to

Which type of data is being visualized by the boxplots summarizing the weights of male and female students in a class?