By Gary Heiman
Created via the continual suggestions of a "student-tested, faculty-approved" method, Behavioral Sciences STAT 2 promises a visually beautiful, succinct print part, tear-out evaluation playing cards for college students and teachers and a constant on-line providing with CourseMate that comes with an book as well as a suite of interactive electronic instruments all at a value-based fee and confirmed to extend retention and outcomes.
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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. 19 Chapter 2 CREATING AND USING FREQUENCY DISTRIBUTIONS LOOKING BACK GOING F O R WA R D Be sure you understand from Chapter 1: Your goals in this chapter are to learn: • What nominal, ordinal, interval, and ratio scales of measurement are.
Likewise, say that we counted the people in line at each score between 30 and 35. If we added them together, we would have the combined frequencies for these scores. The reason for using this “parking lot view” is so you won’t think of the normal curve as just a line floatingg above the X axis. Instead, think of the space under the curve—the space between the polyun gon’s line and the X axis—as forming a solid figure that has area. This area represents the individuals and their scores in our data.
This pattern might be found, for example, by measuring the running speed of professional football players. Most would tend to run at the higher speeds, but a relatively few linemen lumber in at the slower speeds. ) On the other hand, a positively skewed distribution contains low-frequency, extreme high scores but does not contain low-frequency, extreme low scores. Chapter 2: Creating and Using Frequency Distributions Copyright 2013 Cengage Learning. All Rights Reserved. May not be copied, scanned, or duplicated, in whole or in part.