You wish to test the following claim (Ha) at a significance level of a = 0.02. H.:P1 – P2 = 0 Ha:P1 – P2 + 0 You obtain 39.3% successes in a sample of size nį = 471 from the first population. You obtain 36.6% successes in a sample of size n2 = 418 from the second population. What is the critical value for this test? (Report answer accurate to three decimal places.) critical value = ± What is the test statistic for this sample? (Report answer accurate to three decimal places.) test statistic = The test statistic is... O in the critical region not in the critical region This test statistic leads to a decision to... reject the null hypothesis accept the null hypothesis O fail to reject the null hypothesis As such, the final conclusion is that... O There is enough evidence to show that the first population proportion is not different from the second population proportion. O There is not enough evidence to show that the first population proportion is not different from the second population proportion. There is enough evidence to show that the first population proportion is different from the second population proportion. O There is not enough evidence to show that the first population proportion is different from the second population proportion.

MATLAB: An Introduction with Applications
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Author:Amos Gilat
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You wish to test the following claim (Ha) at a significance level of a = 0.02.
H.:P1
Ha:P1 – P2 + 0
P2 =
You obtain 39.3% successes in a sample of size nį
in a sample of size n2
471 from the first population. You obtain 36.6% successes
418 from the second population.
What is the critical value for this test? (Report answer accurate to three decimal places.)
critical value = ±
What is the test statistic for this sample? (Report answer accurate to three decimal places.)
test statistic
The test statistic is...
O in the critical region
not in the critical region
This test statistic leads to a decision to...
reject the null hypothesis
accept the null hypothesis
O fail to reject the null hypothesis
As such, the final conclusion is that...
There is enough evidence to show that the first population proportion is not different from the second
population proportion.
There is not enough evidence to show that the first population proportion is not different from the
second population proportion.
There is enough evidence to show that the first population proportion is different from the second
population proportion.
There is not enough evidence to show that the first population proportion is different from the second
population proportion.
Transcribed Image Text:You wish to test the following claim (Ha) at a significance level of a = 0.02. H.:P1 Ha:P1 – P2 + 0 P2 = You obtain 39.3% successes in a sample of size nį in a sample of size n2 471 from the first population. You obtain 36.6% successes 418 from the second population. What is the critical value for this test? (Report answer accurate to three decimal places.) critical value = ± What is the test statistic for this sample? (Report answer accurate to three decimal places.) test statistic The test statistic is... O in the critical region not in the critical region This test statistic leads to a decision to... reject the null hypothesis accept the null hypothesis O fail to reject the null hypothesis As such, the final conclusion is that... There is enough evidence to show that the first population proportion is not different from the second population proportion. There is not enough evidence to show that the first population proportion is not different from the second population proportion. There is enough evidence to show that the first population proportion is different from the second population proportion. There is not enough evidence to show that the first population proportion is different from the second population proportion.
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