By C. Taylor
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Throughout your personal and professional life, you Copyright 2010 Cengage Learning. All Rights Reserved. May not be copied, scanned, or duplicated, in whole or in part. Due to electronic rights, some third party content may be suppressed from the eBook and/or eChapter(s). Editorial review has deemed that any suppressed content does not materially affect the overall learning experience. Cengage Learning reserves the right to remove additional content at any time if subsequent rights restrictions require it.
Multivariate data result from obtaining a category or value for each of two or more attributes (so bivariate data are a special case of multivariate data). For example, multivariate data would result from determining height, weight, pulse rate, and systolic blood pressure for each individual in a group. 6 illustrates a bivariate data set. Copyright 2010 Cengage Learning. All Rights Reserved. May not be copied, scanned, or duplicated, in whole or in part. Due to electronic rights, some third party content may be suppressed from the eBook and/or eChapter(s).
1(a) shows the distribution of the heights of female basketball players who played at a particular university between 2000 and 2008. The height of each bar in the graph indicates how many players’ heights were in the corresponding interval. 1(b) shows the distribution of heights for members of the women’s gymnastics team. Both histograms are based on the heights of 100 women. 1 Histograms of heights (in inches) of female athletes: (a) basketball players; (b) gymnasts. (a) 70 72 74 76 78 58 60 62 64 66 68 70 Height 72 74 76 78 (b) The ﬁrst histogram shows that the heights of female basketball players varied, with most heights falling between 68 inches and 76 inches.