The following MINITAB output presents the results of a power calculation for a test concerning a population proportion p. Power and Sample Size Test for One Proportion Testing proportion =0.5 (versus not = 0.5) Alpha = 0.05 Alternative Sample Size Power Proportion 0.4 1500.691332 Is the power calculated for a one-tailed or two-tailed test? a. b. What is the null hypothesis for which the power is calculated? C. For what alternative value of p is the power calculated? If the sample size were 100, would the power be less than 0.7, greater than 0.7, or is it impossible to tell from the output? Explain. d. If the sample size were 200, would the power be less than 0.6, greater than 0.6, or is it impossible to tell from the output? Explain. e. f. For a sample size of 150, is the power against the alternative p = 0.3 less than 0.65, greater than 0.65, or is it impossible to tell from the output? Explain. For a sample size of 150, is the power against the alternative p = 0.45 less than 0.65, greater than 0.65, or is it impossible to tell from the output? Explain. g.

MATLAB: An Introduction with Applications
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Author:Amos Gilat
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Chapter1: Starting With Matlab
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The following MINITAB output presents the results of a power calculation for a test
concerning a population proportion p.
Power and Sample Size
Test for One Proportion
Testing proportion =0.5 (versus not = 0.5)
Alpha = 0.05
Alternative
Sample Size Power
Proportion
0.4
1500.691332
Is the power calculated for a one-tailed or two-tailed test?
a.
b.
What is the null hypothesis for which the power is calculated?
C.
For what alternative value of p is the power calculated?
If the sample size were 100, would the power be less than 0.7, greater than 0.7, or is it
impossible to tell from the output? Explain.
d.
If the sample size were 200, would the power be less than 0.6, greater than 0.6, or is it
impossible to tell from the output? Explain.
e.
f.
For a sample size of 150, is the power against the alternative p = 0.3 less than 0.65,
greater than 0.65, or is it impossible to tell from the output? Explain.
For a sample size of 150, is the power against the alternative p = 0.45 less than 0.65,
greater than 0.65, or is it impossible to tell from the output? Explain.
g.
Transcribed Image Text:The following MINITAB output presents the results of a power calculation for a test concerning a population proportion p. Power and Sample Size Test for One Proportion Testing proportion =0.5 (versus not = 0.5) Alpha = 0.05 Alternative Sample Size Power Proportion 0.4 1500.691332 Is the power calculated for a one-tailed or two-tailed test? a. b. What is the null hypothesis for which the power is calculated? C. For what alternative value of p is the power calculated? If the sample size were 100, would the power be less than 0.7, greater than 0.7, or is it impossible to tell from the output? Explain. d. If the sample size were 200, would the power be less than 0.6, greater than 0.6, or is it impossible to tell from the output? Explain. e. f. For a sample size of 150, is the power against the alternative p = 0.3 less than 0.65, greater than 0.65, or is it impossible to tell from the output? Explain. For a sample size of 150, is the power against the alternative p = 0.45 less than 0.65, greater than 0.65, or is it impossible to tell from the output? Explain. g.
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