P&S CT-6 FLASHCARD

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What is a null hypothesis?

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A null hypothesis is a statement that there is no effect or difference, used as a basis for statistical testing.

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What is an alternative hypothesis?

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An alternative hypothesis is a statement that indicates the presence of an effect or relationship in a statistical test.

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What is a Type I error?

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A Type I error is the incorrect rejection of a true null hypothesis.

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What is a Type II error?

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A Type II error is the failure to reject a false null hypothesis.

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What does a one-tailed test assess?

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A one-tailed test assesses the significance of a sample statistic in one direction.

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What does a two-tailed test assess?

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A two-tailed test assesses differences in both directions from a hypothesized value.

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How is a confidence interval constructed?

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A confidence interval is constructed using the formula: sample mean ± (critical value × standard error).

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What does a 95% confidence interval mean?

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A 95% confidence interval indicates that there is a 95% chance that the interval contains the true population parameter.

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What is the power of a test?

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The power of a test is the probability of correctly rejecting a false null hypothesis.

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How can you increase the power of a test? Options: Decrease sample size, Increase sample size, improve measurement sensitivity, reduce variability, or adjust significance level., Use a less stringent significance level, Increase measurement error.

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Increase sample size, improve measurement sensitivity, reduce variability, or adjust significance level.