2. Describing Data with Tables and Graphs

A box plot is shown for a data set. Which value does the leftmost whisker of the box plot represent?

Which type of graph is most appropriate for visualizing changes in $\mathrm{quantitative}$ data over $\mathrm{time}$?

A box plot is constructed using which of the following pieces of data?

Which characteristic best distinguishes quantitative data from qualitative data?

In a normal distribution, what effect does increasing the $\mathrm{mean}$ have on the graph of the normal curve?

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?