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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 7.3 | Probability and the Distribution of Sample Means 209

20

FIGURE 7.6

The middle 80% of the distribution

of sample means for n = 25.

Samples were selected from a normal

population with μ = 500 and

σ = 100.

10%

474.4

40% 40% 10%

500

m

525.6

21.28 0

11.28

M

z

sample of n = 25 students ought to have a mean SAT score around 500. More specifically,

we are 80% confident that the value of the sample mean will be between 474.4 and 525.6.

The ability to predict sample means in this way will be a valuable tool for the inferential

statistics that follow.

LEARNING CHECK

ANSWERS

1. A normal population has µ = 50 and σ = 8. A random sample of n = 16 scores

from this population has a mean of 54. What is the z-score for this sample mean?

a. +0.50

b. +1.00

c. +2.00

d. +4.00

2. A random sample of n = 9 scores is obtained from a population with µ = 50 and σ = 9.

If the sample mean is M = 53, what is the z-score corresponding to the sample mean?

a. z = 0.33

b. z = 1.00

c. z = 3.00

d. cannot determine without additional information

3. A random sample of n = 25 scores is selected from a normally distributed population

with μ = 500 and σ = 100. What is the probability that the sample mean will

be less than 490?

a. 0.4602

b. 0.3085

c. 0.1587

d. 0.0062

1. C, 2. B, 3. B

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