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Power and error A scientist calculates that a test at the α=0.05 significance level has probability 0.23 of making a Type II error when a specific alternative is true.

a. What is the power of the test against this alternative?

b. What’s the probability of making a Type I error?

Short Answer

Expert verified

Part (a) Power =0.77=77%

Part (b) P (Type I error) =0.05=5%

Step by step solution

01

Part (a) Step 1: Given information

P(TypeIIerror)=0.23

α=0.05

02

Part (a) Step 2: Calculation

The probability of a type II error is multiplied by the power.

Consequently, the power is

Power=1-P(TypeIIerror)=1−0.23=0.77=77%

03

Part (b) Step 1: Explanation

The type I error likelihood is represented by the significance level.

P(TypeIerror)=α=0.05=5%

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