Calculating Power and the Probability of a Type II Error (A One-Tailed Example) @jbstatistics
Calculating Power and the Probability of a Type II Error (A One-Tailed Example)  @jbstatistics
Uploaded February 2013 | Updated September 2026, 42 minutes ago
An example of calculating power and the probability of a Type II error (beta), in the context of a Z test for one mean. Much of the underlying logic holds for other types of tests as well.

If you are looking for an example involving a two-tailed test, I have a video with an example of calculating power and the probability of a Type II error for a two-tailed Z test at youtu.be/NbeHZp23ubs.
Calculating Power and the Probability of a Type II Error (A One-Tailed Example)Standardizing Normally Distributed Random Variables (fast version)Introduction to the Negative Binomial DistributionUsing the Chi-square Table to Find Areas and PercentilesThe Normal Approximation to the Binomial DistributionChi-square tests for count data: Finding the p-value (old, fast version)Measures of Variability (Variance, Standard Deviation, Range, Mean Absolute Deviation)Proof that the Sample Variance is an Unbiased Estimator of the Population VarianceFinding Probabilities and Percentiles for a Continuous Probability DistributionConditional Probability Example ProblemsIntroduction to the Central Limit Theorem (fast version)Z-Scores (As a Descriptive Measure of Relative Standing)
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Calculating Power and the Probability of a Type II Error (A One-Tailed Example)

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