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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 8.4 | Directional (One-Tailed) Hypothesis Tests 249

All researchers agree that one-tailed tests are different from two-tailed tests. However,

there are several ways to interpret the difference. One group of researchers contends that

a two-tailed test is more rigorous and, therefore, more convincing than a one-tailed test.

Remember that the two-tailed test demands more evidence to reject H 0

and thus provides a

stronger demonstration that a treatment effect has occurred.

Other researchers feel that one-tailed tests are preferable because they are more sensitive.

That is, a relatively small treatment effect may be significant with a one-tailed test

but fail to reach significance with a two-tailed test. Also, there is the argument that onetailed

tests are more precise because they test hypotheses about a specific directional effect

instead of an indefinite hypothesis about a general effect.

In general, two-tailed tests should be used in research situations when there is no strong

directional expectation or when there are two competing predictions. For example, a twotailed

test would be appropriate for a study in which one theory predicts an increase in

scores but another theory predicts a decrease. One-tailed tests should be used only in situations

when the directional prediction is made before the research is conducted and there

is a strong justification for making the directional prediction. In particular, if a two-tailed

test fails to reach significance, you should never follow up with a one-tailed test as a second

attempt to salvage a significant result for the same data.

LEARNING CHECK

1. A researcher is predicting that a treatment will increase scores. If this treatment

is evaluated using a directional hypothesis test, then the critical region for the

test ______.

a. would be entirely in the right-hand tail of the distribution

b. would be entirely in the left-hand tail of the distribution

c. would be divided equally between the two tails of the distribution

d. cannot answer without knowing the value of the alpha level

2. A sample is selected from a population with a mean of µ = 45 and a treatment

is administered to the sample. If the treatment is expected to produce a

decrease in the scores, then what would be the null hypothesis for a directional

hypothesis test?

a. µ ≥ 45

b. µ ≤ 45

c. M ≤ 45

d. M ≥ 45

3. A researcher expects a treatment to produce an increase in the population mean.

The treatment is evaluated using a one-tailed hypothesis test, and the test produces

z = –1.85. Based on this result, what is the correct statistical decision?

a. The researcher should reject the null hypothesis with α = .05 but not with

α = .01.

b. The researcher should reject the null hypothesis with either α = .05 or α = .01.

c. The researcher should fail to reject H 0

with either α = .05 or α = .01.

d. Cannot answer without additional information

ANSWERS

1. A, 2. A, 3. C

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