Question

1. Statistical power analysis seeks to optimize the size of the ___________.

   		difference
   		sample
   		population
   		correlation

2. Statistical power is the likelihood that an effect will be detected in the sample when one ____________.

   		is hypothesized to exist
   		has been found in previous research
   		really exists
   		exists in a previous sample of the same population

3. The probability of failing to detect an effect when one exists is known as a _______.

   		Type I error
   		Type II error
   		Power
   		Standardized error

4. Which of the following is not related to statistical power?

   		Standardized effect size
   		Sample size
   		Standard error
   		Alpha

5. As the standardized effect size increases, how is the power of the study affected?

   		It is not affected.
   		It is increased.
   		It is decreased.
   		It approaches zero

6. For a constant sample size, as alpha decreases, how is the power of the study affected?

   		It approaches 1.0
   		It is not affected
   		It is decreased
   		It is increased

7. As the sample size decreases, how is the power of the study affected?

   		It is not affected
   		It is increased
   		It approaches 1.0
   		It is decreased

8. If the probability of making a type II error is 0.3, what is the power of the analysis?

   		1.3
   		0.70
   		0.30
   		0.09
   		some other value

9. Which of the following alphas would be associated with the greatest statistical power?

   		0.10
   		0.05
   		0.01
   		0.001

10. Which of the following alphas would be associated with the greatest likelihood of making a type II error?

    		0.10
    		b. 0.05
    		0.01
    		0.001

Answer 1

Solution:

Statistical power analysis seeks to optimize the size of the sample

Statistical power is the likelihood that an effect will be detected in the sample when one really exists

The probability of failing to detect an effect when one exists is known as a  Type II error

Standard error  is not related to statistical power

As the standardized effect size increases,the power of the study is increased.

For a constant sample size, as alpha decreases, the power of the study is decreased.

As the sample size decreases,  the power of the study is decreased.

If the probability of making a type II error is 0.3, then the power of the analysis is 1 - 0.3 = 0.7

0.10 alpha would be associated with the greatest statistical power

0.0001 alpha would be associated with the greatest likelihood of making a type II error.

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