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Statistics for the Behavioral Sciences by Frederick J. Gravetter, Larry B. Wallnau ISBN 10: 1305504917 ISBN 13: 9781305504912

Statistics is one of the most practical and essential courses that you will take, and a primary goal of this popular text is to make the task of learning statistics as simple as possible. Straightforward instruction, built-in learning aids, and real-world examples have made STATISTICS FOR THE BEHAVIORAL SCIENCES, 10th Edition the text selected most often by instructors for their students in the behavioral and social sciences. The authors provide a conceptual context that makes it easier to learn formulas and procedures, explaining why procedures were developed and when they should be used. This text will also instill the basic principles of objectivity and logic that are essential for science and valuable in everyday life, making it a useful reference long after you complete the course.

Statistics is one of the most practical and essential courses that you will take, and a primary goal of this popular text is to make the task of learning statistics as simple as possible. Straightforward instruction, built-in learning aids, and real-world examples have made STATISTICS FOR THE BEHAVIORAL SCIENCES, 10th Edition the text selected most often by instructors for their students in the behavioral and social sciences. The authors provide a conceptual context that makes it easier to learn formulas and procedures, explaining why procedures were developed and when they should be used. This text will also instill the basic principles of objectivity and logic that are essential for science and valuable in everyday life, making it a useful reference long after you complete the course.

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SECTION 2.3 | Frequency Distribution Graphs 45

5

FIGURE 2.6

An example of a frequency

distribution polygon for

grouped data. The same

set of data is presented in a

frequency distribution table

and in a polygon.

Frequency

4

3

2

1

1 2 3 4 5 6 7 8 9 10 11 12 13 14

Scores

X

12–13

10–11

8–9

6–7

4–5

f

4

5

3

3

2

Bar Graphs A bar graph is essentially the same as a histogram, except that spaces are

left between adjacent bars. For a nominal scale, the space between bars emphasizes that

the scale consists of separate, distinct categories. For ordinal scales, separate bars are used

because you cannot assume that the categories are all the same size.

To construct a bar graph, list the categories of measurement along the X-axis and then

draw a bar above each category so that the height of the bar corresponds to the frequency

for the category. An example of a bar graph is shown in Figure 2.7.

■ Graphs for Population Distributions

When you can obtain an exact frequency for each score in a population, you can construct

frequency distribution graphs that are exactly the same as the histograms, polygons, and

bar graphs that are typically used for samples. For example, if a population is defined

as a specific group of N = 50 people, we could easily determine how many have IQs of

X = 110. However, if we were interested in the entire population of adults in the United

States, it would be impossible to obtain an exact count of the number of people with an

IQ of 110. Although it is still possible to construct graphs showing frequency distributions

for extremely large populations, the graphs usually involve two special features: relative

frequencies and smooth curves.

20

FIGURE 2.7

A bar graph showing the distribution of

personality types in a sample of college

students. Because personality type is a

discrete variable measured on a nominal

scale, the graph is drawn with space

between the bars.

Frequency

15

10

5

0

A B C

Personality type

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