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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 221

STEP 2

Compute the z-score for the sample mean. A sample mean of M = 63 corresponds to a

z-score of

z 5 M 2m 63 2 60

5 5 3 s M

2 2 5 1.50

Therefore, p(M > 63) = p(z > 1.50)

STEP 3

Look up the proportion in the unit normal table. Find z = 1.50 in column A and read

across the row to find p = 0.0668 in column C. This is the answer.

p(M > 63) = p(z > 1.50) = 0.0668 (or 6.68%)

PROBLEMS

1. Briefly define each of the following:

a. Distribution of sample means

b. Expected value of M

c. Standard error of M

2. A sample is selected from a population with a mean of

μ = 40 and a standard deviation of σ = 8.

a. If the sample has n = 4 scores, what is the

expected value of M and the standard error of M?

b. If the sample has n = 16 scores, what is the

expected value of M and the standard error of M?

3. Describe the distribution of sample means (shape,

mean, standard error) for samples of n = 64 selected

from a population with a mean of μ = 90 and a standard

deviation of σ = 32.

4. The distribution of sample means is not always a

normal distribution. Under what circumstances is the

distribution of sample means not be normal?

5. A population has a standard deviation of σ = 24.

a. On average, how much difference should there be

between the sample mean and the population mean

for a random sample of n = 4 scores from this

population?

b. On average, how much difference should there be

for a sample of n = 9 scores?

c. On average, how much difference should there be

for a sample of n = 16 scores?

6. For a population with a mean of μ = 45 and a standard

deviation of σ = 10, what is the standard error

of the distribution of sample means for each of the

following sample sizes?

a. n = 4 scores

b. n = 25 scores

7. For a population with σ = 12, how large a sample is

necessary to have a standard error that is:

a. less than 4 points?

b. less than 3 points?

c. less than 2 points?

8. If the population standard deviation is σ = 10, how

large a sample is necessary to have a standard error

that is

a. less than 5 points?

b. less than 2 points?

c. less than 1 point?

9. For a sample of n = 16 scores, what is the value

of the population standard deviation (σ) necessary

to produce each of the following a standard error

values?

a. σ M

= 8 points?

b. σ M

= 4 points?

c. σ M

= 1 point?

10. For a population with a mean of μ = 40 and a standard

deviation of σ = 8, find the z-score corresponding

to each of the following samples.

a. X = 36 for a sample of n = 1 score

b. M = 36 for a sample of n = 4 scores

c. M = 36 for a sample of n = 16 scores

11. A sample of n = 25 scores has a mean of M = 68.

Find the z-score for this sample:

a. If it was obtained from a population with μ = 60

and σ = 10.

b. If it was obtained from a population with μ = 60

and σ = 20.

c. If it was obtained from a population with μ = 60

and σ = 40.

12. A population forms a normal distribution with a mean

of μ = 55 and a standard deviation of σ = 12. For

each of the following samples, compute the z-score for

the sample mean.

a. M = 58 for n = 4 scores

b. M = 58 for n = 16 scores

c. M = 58 for n = 36 scores

13. Scores on a standardized reading test for 4 th -grade

students form a normal distribution with μ = 60 and

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