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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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266 CHAPTER 8 | Introduction to Hypothesis Testing

treatment effect and plans to use a two-tailed hypothesis

test with α = .05.

a. Compute the power of the test if the researcher uses

a sample of n = 9 individuals. (See Example 8.6.)

b. Compute the power of the test if the researcher

uses a sample of n = 16 individuals.

20. A researcher plans to conduct an experiment evaluating

the effect of a treatment. A sample of n = 9

participants is selected and each person receives the

treatment before being tested on a standardized dexterity

task. The treatment is expected to lower scores

on the test by an average of 30 points. For the regular

population, scores on the dexterity task form a normal

distribution with μ = 240 and σ = 30.

a. If the researcher uses a two-tailed test with

α = .05, what is the power of the hypothesis test?

b. Again assuming a two-tailed test with α = .05,

what is the power of the hypothesis test if the

sample size is increased to n = 25?

21. Research has shown that IQ scores have been increasing

for years (Flynn, 1984, 1999). The phenomenon

is called the Flynn effect and the data indicate that the

increase appears to average about 7 points per decade.

To examine this effect, a researcher obtains an IQ test

with instructions for scoring from 10 years ago

and plans to administers the test to a sample of

n = 25 of today’s high school students. Ten years

ago, the scores on this IQ test produced a standardized

distribution with a mean of μ = 100 and a

standard deviation σ = 15. If there actually has been

a 7-point increase in the average IQ during the past

10 years, then find the power of the hypothesis test

for each of the following.

a. The researcher uses a two-tailed hypothesis test

with α = .05 to determine if the data indicate a

significant change in IQ over the past 10 years.

b. The researcher uses a one-tailed hypothesis test

with α = .05 to determine if the data indicate a

significant increase in IQ over the past 10 years.

22. Briefly explain how increasing sample size influences

each of the following. Assume that all other factors

are held constant.

a. The size of the z-score in a hypothesis test.

b. The size of Cohen’s d.

c. The power of a hypothesis test.

23. Explain how the power of a hypothesis test is influenced

by each of the following. Assume that all other

factors are held constant.

a. Increasing the alpha level from .01 to .05.

b. Changing from a one-tailed test to a two-tailed test.

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