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1

Which is a correct statement about power?

A
Power means the probability of correctly rejecting a null hypothesis when a real difference or association definitely exists.
B
Power means the probability of correctly accepting a null hypothesis when a real difference or association definitely exists.
C
Power means the probability of wrongly rejecting a null hypothesis when a real difference or association definitely exists.
D
Power means the probability of correctly rejecting a hypothesis when a real difference or association definitely exists.
2

Which of the following statements is correct about the effects of power on the results of a study?

A
Studies with high power are less likely to produce significant results, even though a clinically meaningful effect exists.
B
Studies with low power are less likely to produce significant results, even though a clinically meaningful effect exists.
C
Lack of statistical significance means that there is no treatment effect as an outcome of low power.
D
Lack of statistical significance means that there is no treatment effect as an outcome of high power.
3

How much power is sufficient to produce significant results?

A
Adequate power for a study is generally accepted as being 0.2.
B
Adequate power for a study is generally accepted as being 0.8.
C
Adequate power for a study is generally accepted as being 0.3.
D
Adequate power for a study is generally accepted as being 0.1 .
4

Which of the following can be computed using a priori power analysis?

A
Alpha
B
Sample Size
C
Power
D
Effect size
5

Which of the following can be computed using post hoc power analysis?

A
Power
B
Alpha
C
Sample Size
D
Effect size
Please answer all the questions above to proceed