Calculating Power and the Probability of a Type II Error (A Two-Tailed Example) @jbstatistics
Calculating Power and the Probability of a Type II Error (A Two-Tailed Example)  @jbstatistics
Uploaded July 2013 | Updated September 2026, 2 hours ago
An example of calculating power and the probability of a Type II error (beta), in the context of a two-tailed Z test for one mean. Much of the underlying logic holds for other types of tests as well.

I have a related video with a one-tailed Z test example available at youtu.be/BJZpx7Mdde4.
Calculating Power and the Probability of a Type II Error (A Two-Tailed Example)Chi-square tests:  Goodness of Fit for the Binomial DistributionInference for Two Proportions:  An Example of a Confidence Interval and a Hypothesis TestAn Introduction to Continuous Probability DistributionsExpected Value and Variance of Discrete Random VariablesInference for One Proportion:  Determining the Required Sample SizeConfidence Intervals for One Mean:  Finding the Appropriate Z ValueFinding Percentiles and Areas for the F Distribution Using RP(A) = P(A and B) + P(A and Bc)Introduction to the Central Limit TheoremHypothesis Tests for One Population VariancePooled-Variance t Tests and Confidence Intervals: An Example
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Calculating Power and the Probability of a Type II Error (A Two-Tailed Example)

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