Exam 14: Using Inferential Statistics

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A statistical test led Dr. Jones to incorrectly decide that his independent variable had no effect when in fact it did. Dr. Jones committed a(n):

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Describe the data transformations that can be applied to data. Are data transformations a good idea? Why or why not?

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Changing the significance level of a statistical test from .05 to .01 makes the test more powerful.

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The value of any particular score obtained in a between-subjects experiment is determined by:

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Inferential statistics assess the probability that the means of two samples would differ by an observed amount or more if they had been drawn from the same population of scores.

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Which of the following statements would be true of the pooled version of the t test for independent samples?

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If any of the expected cell frequencies in a chi-square test is less than 5, the value of chi-square may be artificially inflated.

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The power of a statistical test is affected by:

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By convention, an alpha level of _____ has been established as the minimum criterion for statistical significance.

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Data transformations are used to:

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In statistical terms, the power of a statistical test is the probability that it will reject the null hypothesis when the null hypothesis is false and is one minus the probability of a Type II error.

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Incorrectly rejecting the null hypothesis is known as a Type I error.

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A finding of significance at p < .01 is more statistically significant than one at p < .05.

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Identify a true statement about replication as an alternative to inferential statistics.

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Which of the following statements is true of the two-factor between-subjects analysis of variance (ANOVA)?

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The use of _____ has been proposed by some researchers as an alternative to inferential statistics to test the reliability of data.

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Because of _____, you should not conduct many post hoc comparisons, even if you predicted particular differences between means.

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In a study of reaction time, Dr. Mills experimentally manipulates two independent variables and obtains a continuous correlational measure. The most appropriate analysis for her data would be a(n):

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A one-tailed test is used:

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The main difference between parametric and nonparametric statistics is that a parametric statistic:

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