The following MINITAB output presents the results of a hypothesis test for a population proportion p. Test and CI for One Proportion: X Test of p = 0.4 vs p < 0.4 Variable X N Sample p 95% Upper Bound Z-Value P-Value х 73 240 0.304167 0.353013 -3.03 0.001 Is this a one-tailed or two-tailed test? What is the null hypothesis? Can H, be rejected at the 2% level? How can you tell? a. b. C. d. Someone asks you whether the null hypothesis Hg: p 2 0.45 versus H1: p < 0.45 can be rejected at the 2% level. Can you answer without doing any calculations? How? Use the output and an appropriate table to compute the P-value for the test of Ho: p s 0.25 versus H1: p > 0.25. Use the output and an appropriate table to compute a 90% confidence interval for p. e. f.

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 hypothesis test for a population
proportion p.
Test and CI for One Proportion: X
Test of p = 0.4 vs p < 0.4
Variable X N Sample p
95% Upper Bound Z-Value P-Value
х
73 240 0.304167
0.353013
-3.03
0.001
Is this a one-tailed or two-tailed test?
What is the null hypothesis?
Can H, be rejected at the 2% level? How can you tell?
a.
b.
C.
d.
Someone asks you whether the null hypothesis Hg: p 2 0.45 versus H1: p < 0.45 can be
rejected at the 2% level. Can you answer without doing any calculations? How?
Use the output and an appropriate table to compute the P-value for the test of Ho: p s
0.25 versus H1: p > 0.25.
Use the output and an appropriate table to compute a 90% confidence interval for p.
e.
f.
Transcribed Image Text:The following MINITAB output presents the results of a hypothesis test for a population proportion p. Test and CI for One Proportion: X Test of p = 0.4 vs p < 0.4 Variable X N Sample p 95% Upper Bound Z-Value P-Value х 73 240 0.304167 0.353013 -3.03 0.001 Is this a one-tailed or two-tailed test? What is the null hypothesis? Can H, be rejected at the 2% level? How can you tell? a. b. C. d. Someone asks you whether the null hypothesis Hg: p 2 0.45 versus H1: p < 0.45 can be rejected at the 2% level. Can you answer without doing any calculations? How? Use the output and an appropriate table to compute the P-value for the test of Ho: p s 0.25 versus H1: p > 0.25. Use the output and an appropriate table to compute a 90% confidence interval for p. e. f.
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