In this chapter, we will look at some charts and graphs used to summarize categorical data.
CategoryFrequencyRelative Frequency
Construct a frequency table for eye color using the data from “ACSC”.
A graphical version of a frequency table: the horizontal axis has each category value (in any order) equally spaced apart the vertical axis should be appropriately scaled, and it represents either the frequencies or relative frequencies rectangles (of equal width) are then drawn above each category with heights corresponding to each frequency or relative frequency
Construct a bar chart for eye color using the data from “ACSC”.
A circular version of a bar chart: Each category value is graphed with its appropriate “wedge size” in a circle rather than bars/rectangles side by side.
Construct a pie chart for eye color using the data from “ACSC”.
A two-way table that gives the frequencies (or relative frequencies) for 2 categorical variables simultaneously:
The table shows the frequencies of 120 movies released in 2005 based on genre and rating. GPGPG-13R Action45179 Comedy Drama03817 Horror00118
The table shows the frequencies of 120 movies released in 2005 based on genre and rating. The first thing we should do with such a table is fill in the totals. GPGPG-13R Action Comedy Drama Horror
The table shows the frequencies of 120 movies released in 2005 based on genre and rating. (a) What percentage of the movies were comedies? GPGPG-13R Action Comedy Drama Horror
The table shows the frequencies of 120 movies released in 2005 based on genre and rating. (b) What percentage of the movies were rated PG? GPGPG-13R Action Comedy Drama Horror
The table shows the frequencies of 120 movies released in 2005 based on genre and rating. (c) What percentage of the dramas were rated R? GPGPG-13R Action Comedy Drama Horror
The table shows the frequencies of 120 movies released in 2005 based on genre and rating. (d) What percentage of PG-13 movies were Horror films? GPGPG-13R Action Comedy Drama Horror