## Behavioral Sciences STAT 2 (Student Edition) by Gary Heiman

By Gary Heiman

Created via the continual suggestions of a "student-tested, faculty-approved" procedure, Behavioral Sciences STAT 2 provides a visually attractive, succinct print part, tear-out evaluation playing cards for college kids and teachers and a constant on-line providing with CourseMate that comes with an publication as well as a suite of interactive electronic instruments all at a value-based rate and confirmed to extend retention and outcomes.

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Extra resources for Behavioral Sciences STAT 2 (Student Edition)

Example text

Call it a normal curve or a normal distribution, or say that the scores are normally distributed. Because this polygon represents an infinite population, it is slightly different from that for a sample. First, we cannot count the f of each score, so no numbers occur on the Y axis. Simply remember that frequencies increase as we proceed higher up the Y axis. Second, the polygon is a smooth curved line. The population contains so many different normal curve The symmetrical, whole and decimal scores that the indibell-shaped curve vidual data points form the curved line.

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. • What frequency is and how a frequency distribution is created. • What continuous and discrete measurements are. • When to graph frequency distributions using a bar graph, histogram, or polygon. • What normal, skewed, and bimodal distributions are. • What relative frequency and percentile are and how we use the area under the normal curve to compute them.

Also, the rules for creating the different graphs we’ve seen are the same 2-4b Finding Relative Frequency Using the Normal Curve To understand how we use the normal curve to compute relative frequency, first think about the curve in a novel way. Imagine you are in a helicopter flying over a large parking lot that contains a mass of people crowded together. The outline of the mass has that bell shape of a normal curve. Upon closer inspection, you see an X axis and a Y axis laid out on the ground, and at the marker for each X score are people standing in line who received that score.