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Jennie Robinson
on Oct 12, 2024

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Consider a hypothesis test where the probability of a Type I error is 0.10 and the probability of a Type II error is 0.08.What is the power of the test?

A) 0.008
B) 0.90
C) 0.10
D) 0.92
E) 0.08

Power

In statistics, the probability of correctly rejecting the null hypothesis when it is false.

Type I Error

The incorrect rejection of a true null hypothesis in statistical hypothesis testing.

Type II Error

A statistical mistake of failing to reject a false null hypothesis, missing an actual effect or difference when it exists.

  • Evaluate the strength of a test and decode its relevance in the process of hypothesis scrutiny.
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Grace AndersonOct 13, 2024
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