Classifying Data and Misleading Graphs

Multiple Choice

CLASSIFYING DATA

Tell whether the data are categorical or numerical, and univariate or bivariate:

ages of students in a school

• Numerical, univariate

• Categorical, univariate

• Numerical, bivariate

• Categorical, bivariate

Multiple Choice

CLASSIFYING DATA

Tell whether the data are categorical or numerical, and univariate or bivariate:

last names and favorite colors of students in your class

• Numerical, univariate

• Categorical, univariate

• Numerical, bivariate

• Categorical, bivariate

Multiple Choice

CLASSIFYING DATA

Tell whether the data are categorical or numerical, and univariate or bivariate:

prices and ages of homes in a neighborhood

• Numerical, univariate

• Categorical, univariate

• Numerical, bivariate

• Categorical, bivariate

Multiple Choice

CLASSIFYING DATA

Tell whether the data are categorical or numerical, and univariate or bivariate:

types of songs played at a jazz concert (swing, blues, …)

• Numerical, univariate

• Categorical, univariate

• Numerical, bivariate

• Categorical, bivariate

Multiple Choice

Describe how each graph is misleading. Then explain how someone might interpret the graph.

• The data isn't spread over an appropriate number of years.

• There should be a dollar sign next to the numbers on the y-axis.

• The y-axis starts at $6.88 and does not have a break, and the graph makes it look like the wages went up rapidly over the years when it actually didn't.

Multiple Choice

Describe how each graph is misleading. Then explain how someone might interpret the graph.

• The bars are not aligned correctly.

• The scale on the vertical axis has increments that are not equal.

• The axis are incorrectly labelled.