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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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PROBLEMS 157

16. A distribution of exam scores has a mean of μ = 78.

a. If your score is X = 70, which standard deviation

would give you a better grade: σ = 4 or σ = 8?

b. If your score is X = 80, which standard deviation

would give you a better grade: σ = 4 or σ = 8?

17. For each of the following, identify the exam score that

should lead to the better grade. In each case, explain

your answer.

a. A score of X = 70, on an exam with M = 82 and

σ = 8; or a score of X = 60 on an exam with

μ = 72 and σ = 12.

b. A score of X = 58, on an exam with μ = 49 and

σ = 6; or a score of X = 85 on an exam with

μ = 70 and σ = 10.

c. A score of X = 32, on an exam with μ = 24 and

σ = 4; or a score of X = 26 on an exam with

μ = 20 and σ = 2.

18. A distribution with a mean of μ = 38 and a standard

deviation of σ = 5 is transformed into a standardized

distribution with μ = 50 and σ = 10. Find the new,

standardized score for each of the following values

from the original population.

a. X = 39

b. X = 43

c. X = 35

d. X = 28

19. A distribution with a mean of μ = 76 and a standard

deviation of σ = 12 is transformed into a standardized

distribution with μ = 100 and σ = 20. Find the new,

standardized score for each of the following values

from the original population.

a. X = 61

b. X = 70

c. X = 85

d. X = 94

20. A population consists of the following N = 5 scores:

0, 6, 4, 3, and 12.

a. Compute μ and σ for the population.

b. Find the z-score for each score in the population.

c. Transform the original population into a new population

of N = 5 scores with a mean of μ = 100 and

a standard deviation of σ = 20.

21. A sample has a mean of M = 30 and a standard

deviation of s = 8. Find the z-score for each of the

following X values from this sample.

X = 32 X = 34 X = 36

X = 28 X = 20 X = 18

22. A sample has a mean of M = 25 and a standard

deviation of s = 5. For this sample, find the X value

corresponding to each of the following z-scores.

z = 0.40 z = 1.20 z = 2.00

z = −0.80 z = −0.60 z = −1.40

23. For a sample with a standard deviation of s = 8, a

score of X = 65 corresponds to z = 1.50. What is

the sample mean?

24. For a sample with a mean of M = 51, a score of

X = 59 corresponds to z = 2.00. What is the sample

standard deviation?

25. In a sample distribution, X = 56 corresponds to

z = 1.00, and X = 47 corresponds to z = −0.50.

Find the mean and standard deviation for the sample.

26. A sample consists of the following n = 7 scores: 5, 0,

4, 5, 1, 2, and 4.

a. Compute the mean and standard deviation for the

sample.

b. Find the z-score for each score in the sample.

c. Transform the original sample into a new sample

with a mean of M = 50 and s = 10.

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