Exam 16: Making Inferences From Sample Data I: The Null Hypothesis Significance Testing Approach

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Nondirectional alternative hypotheses often are used when comparing two different treatment methods.

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Directional alternative hypotheses should be used when there is previous research to support the intervention.

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Ideally, one should aim for a power of .80.

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Type II error refers to:

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Complications of NHST include:

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A t value has a probability of .05. This means that:

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A p value tells us:

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It is best to have power be less than .05.

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The cut point of p < .05 is artificial.

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Power can be determined by knowing the sample size, the significance level, and an estimate of the study's effect size.

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In order to gain power, the alpha level should be set at .01.

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A statistical outcome that could occur less than 5 times in 100 (alpha = .05) should result in:

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A null hypothesis states that there will be no significant differences in the population between the average weights of one group of women who have sports-related hobbies versus a group of women with non-sports-related hobbies. A Type I error would be to:

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Rex All developed what he thinks is a miracle drug to cure baldness. He asks you for advice on how to maximize statistical power so that he can "prove" that Hair Today really works. You tell him that the best way to maximize power is to:

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What significance level for a directional hypothesis is the same as .05 for a non-directional hypothesis?

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To estimate power, a researcher will need to know:

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We can never be sure if a decision based on sample data is actually true for the population.

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A small sample size may not produce enough power to reject a false null hypothesis.

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A p value of .06 should add supporting evidence to the results of a study.

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By divine revelation, a researcher discovers that his hypothesis was, in fact, true and he should never have rejected it. The researcher:

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