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X 23. What type of graph should you create when counting the frequency of: (a) The brands of cell phones owned by students? Why? (b) The different body weights reported in a statewide survey? Why? (c) The people falling into one of eight salary ranges? Why? (d) The number of students who were absent from a class either at the beginning, middle, or end of the semester? Why? 24. An experimenter studies vision in low light by having participants sit in a darkened room for either 5, 15, or 25 minutes and then testing their ability to correctly identify 20 objects.

Middle ... Low ... Middle ... High shape. However, rather scores scores than drawing a different, 28 High High High Behavioral Sciences STAT2 Copyright 2013 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.

Thus, N ϭ 43 means that we have 43 scores. Note that N is not the number of different scores, so even if all 43 scores in a sample are the same score, N still equals 43. raw scores The scores initially measured in a study frequency (f ) The frequency of a score is symbolized by f. The total number of scores in the data is symbolized by N. The number of times each score occurs in a set of data; also called simple frequency frequency distribution A distribution showing the number of times each score occurs in the data Chapter 2: Creating and Using Frequency Distributions Copyright 2013 Cengage Learning.

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A. A. Lyapunov (on his 60th birthday)

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