The mean work week for new college graduates is believed to be about 53 hours. A univeristy career office believes that it has changed in recent years. They conduct a survey of recent graduates. You wish to test the claim that the mean numbers of hours that college graduates work per week is not equal to 53 hours at a significance level of α=0.01α=0.01. 1) Setup competing hypotheses Choose the correct null hypothesis: H0:μ≤53 H0:μ≥53 H0:μ=53 Choose the correct alternative hypothesis: Ha:μ≠53Ha:μ≠53 hours Ha:μ>53Ha:μ>53 hours Ha:μ<53Ha:μ<53 hours 2) Sample data (no answers for this part) You obtain a sample of size 38 with a mean of 48.5 hours and a standard deviation of 13.1 hours. 3) What is the test statistic and the pp-value for this sample? test stat. = Round your answer to 3 decimal places. pp -value = Round your answer to 4 decimal places. Don't forget to recalculate the standard deviation before calculating the answers. 4) Make a decision The p-value is... less than (or equal to) α=α= 0.01 greater than α=α= 0.01 This p-value leads to the decision... reject the null hypothesis do not reject the null hypothesis
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The
You wish to test the claim that the mean numbers of hours that college graduates work per week is not equal to 53 hours at a significance level of α=0.01α=0.01.
1) Setup competing hypotheses
Choose the correct null hypothesis:
- H0:μ≤53
- H0:μ≥53
- H0:μ=53
Choose the correct alternative hypothesis:
- Ha:μ≠53Ha:μ≠53 hours
- Ha:μ>53Ha:μ>53 hours
- Ha:μ<53Ha:μ<53 hours
2) Sample data (no answers for this part)
You obtain a sample of size 38 with a mean of 48.5 hours and a standard deviation of 13.1 hours.
3) What is the test statistic and the pp-value for this sample?
test stat. | = | Round your answer to 3 decimal places. | |
pp -value | = | Round your answer to 4 decimal places. |
Don't forget to recalculate the standard deviation before calculating the answers.
4) Make a decision
The p-value is...
- less than (or equal to) α=α= 0.01
- greater than α=α= 0.01
This p-value leads to the decision...
- reject the null hypothesis
- do not reject the null hypothesis
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