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Author Question: The term power refers to: a. the probability of committing a Type I error b. the probability of ... (Read 104 times)

Jkov05

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on: Jun 20, 2018
The term power refers to:
 
  a. the probability of committing a Type I error
  b. the probability of committing a Type II error
  c. the probability that a statistical test will find a significant difference when a true difference exists in the population
  d. the probability that a statistical test will account for the unexplained variability

Question 2

If a study showed that a particular treatment produced an improvement in 55 of the participants, while 52 of the control participants improved spontaneously, the treatment
 
  a. Would undoubtedly be statistically significant
  b. Would lack clinical significance
  c. Would have clinical significance, but not statistical significance
  d. Is worth adopting.


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daiying98

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Reply #1 on: Jun 20, 2018
Answer to Question 1

c

Answer to Question 2

b


Jkov05

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Reply #2 on: Jun 20, 2018
Thank you!


daiying98

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Reply #3 on: Jun 20, 2018
Happy to help


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