Explanation Definition: Histograms are the graphical representation of frequency distribution of quantitative data. For continuous data, the data has to be grouped into classes. A fixed class width is assumed such that each and every value falls only in one class. The classes are represented as 10+, 20+, and so on. Calculation: Consider the data of heights (in inches) of the players in four Eastern Conference teams of the WNBA for the recent season. Chicago Sky: 69, 71, 74, 74, 78, 68, 68, 71, 75, 69, 76, 68, 69, 74, 65, 73 NY Liberty: 72, 67, 72, 73, 75, 77, 73, 69, 67, 75, 76, 76, 73, 74, 69, 70 Washington Mystics: 68, 72, 75, 68, 70, 69, 68, 74, 74, 69, 73, 76, 76, 80, 73, 78 Atlanta Dream: 72, 77, 71, 80, 69, 73, 69, 75, 66, 68, 77, 74, 76, 73, 72, 75 The provided data shows that the smallest value is 66 and the largest value is 80. It is provided that class width should be 2 starting at 64.5. So, the data of all the teams are grouped and the frequency and the relative frequency table are obtained as: Heights (in inches) Frequency Relative Frequency 64.5 to 66.5 2 2 64 ≈ 0.03 66.5 + to 68.5 9 9 64 ≈ 0.14 68.5 + to 70.5 11 11 64 ≈ 0.17 70.5 + to 72.5 8 8 64 ≈ 0

6th Edition

ISBN: 9780134434681

Author: Tom Pirnot

Publisher: PEARSON

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Chapter 14.1, Problem 7E

To determine

To construct:

The histogram for the data of heights (in inches) of the players in four Eastern Conference teams of the WNBA for the recent season.

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Chapter 14.1, Problem 6E

Chapter 14.1, Problem 8E

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To construct: The histogram for the data of heights (in inches) of the players in four Eastern Conference teams of the WNBA for the recent season.

Solution Summary: The author explains that histograms are the graphical representation of frequency distribution of quantitative data. For continuous data, the data has to be grouped into classes.