Module 9: Uses and Abuses of Tests

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Last updated 6:03 PM on 5/9/26
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10 Terms

1
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What is statistical significance?

If the p-value is as small or smaller than α, then we say that the data are statistically significant at level α.

2
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What is practical significance?

Refers to the magnitude of the effect size between the sample statistic and the hypothesized value of the parameter under Ho is large enough to matter

3
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How do you calculate effect size for categorical data?

|𝑝̂ - 𝑝0|

4
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How do you calculate effect size for quantitative data?

|𝑥̅ − 𝜇0|

5
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What is Type I error?

Rejecting the null hypothesis when it is true.

𝛼 = 𝑃(𝑇𝑦𝑝𝑒 𝐼 𝐸𝑟𝑟𝑜𝑟)

6
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What is Type II error?

Failing to reject the null hypothesis when it is false.

𝛽 = 𝑃(𝑇𝑦𝑝𝑒 𝐼𝐼 𝐸𝑟𝑟𝑜𝑟)

7
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What does power mean?

Probability that the test will reject the null hypothesis at a chosen significance level 𝛼 when the specified alternative value of the parameter is true.

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How do you calculate power?

Power = 1 - 𝛽

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How do you increase the power of a test?

Increase significance level, sample size, and effect size. Decrease probability of Type II error and standard error.

10
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What factors are required to interpret power?

Power given or stated as a probability, null is false, and reject the null.