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Author Question: Which of the following describes the power of a test? a. It is the probability of making the ... (Read 34 times)

fagboi

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on: Jul 24, 2018
Which of the following describes the power of a test?
 a. It is the probability of making the correct decision when the alternative hypothesis is true.
  b. Bigger samples result in more power for the test, and smaller samples result in less power for the test.
  c. It is higher when the population value is farther from the value in the null hypothesis.
  d. All of the above.

Question 2

Which of the following is true when a Type I error has been committed?
 a. The null hypothesis has to have been true.
  b. The data must have convinced us that the alternative hypothesis was true.
  c. The probability of making a Type I error is equal to the stated level of significance, usually .05.
  d. All of the above.


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diesoon

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Reply #1 on: Jul 24, 2018
Answer to Question 1

D

Answer to Question 2

D


fagboi

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Reply 2 on: Jul 24, 2018
Excellent

bimper21

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Reply 3 on: Yesterday
Wow, this really help

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