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Author Question: Explain why a Type I error and a Type II error have an inverse ... (Read 37 times)

geoffrey

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on: Jun 24, 2018
Explain why a Type I error and a Type II error have an inverse relationship.

Question 2

In explaining students' test scores, which of the following independent variables would not best be represented with indicator variables?
 a. Gender
  b. Race
  c. Number of hours studying for the test
  d. Marital status


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IAPPLET

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

In order to reduce the chance of a false alarm, you have to let some opportunities for detection slip by. In order to reduce the chance for a missed opportunity to detect something, you are going to increase the chance of a false alarm.

Answer to Question 2

C


geoffrey

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Reply #2 on: Jun 24, 2018
Thank you :)


IAPPLET

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Reply #3 on: Jun 24, 2018
Happy to help you


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