2.2 Histograms, Frequency Polygons, and Time Series Graphs
Choosing bin boundaries and widths for large data sets, plotting midpoints to compare two distributions on one axis, and tracking a measurement over time.
Introductory Statistics 2e, 2.2 Histograms, Frequency Polygons, and Time Series Graphs
6 exercises
2.2 Exercise 2
Because the data are integers, subtract 0.5 from 1, the smallest data value and add 0.5 to 6, the largest data value. Then the starting point is 0.5 and the ending value is 6.5.
Next, calculate the width of each bar or class interval. If the data are discrete and there are not too many different values, a width that places the data values in the middle of the bar or class interval is the most conv…
2.2 Exercise 7
We will construct an overlay frequency polygon comparing the scores from the example with the students’ final test scores in algebra.
2.2 Exercise 11
What does the frequency column in the table sum to? Why?
2.2 Exercise 13
What is the difference between relative frequency and frequency for each data value in the table?
2.2 Exercise 24
The percentage of people who own at most three T-shirts costing more than $19 each is approximately:
- 21
- 59
- 41
- Cannot be determined
2.2 Exercise 26
Following are the rates of unmarried adults for the 50 U.S. states and Washington, DC.
Construct a bar graph of the unmarried adult rates of your state and the four states closest to your state. Hint: Label the x-axis with the states.
Adapted from Introductory Statistics 2e © 2023 Rice University. Licensed under CC BY 4.0. Source: Introductory Statistics 2e. Imported at revision 50ec917.