To test if students, on average, exercise more than 2 hr/week, a random sample of exercise times of 25 students was collected with an average of 2.5 hours with a standard deviation of 0.5 hours. Ha: mu=2 vs. Ha: mu > 2
Test statistic t=5.0 with df=24. At 5% significance level, the decision is to reject H0. What statements are FALSE? Choose ALL that apply.
All values in the 90% CI would be above 2 hr/week |
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At 10%, the decision could have been different |
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p-value may have been greater than 5% |
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Students, on average, exercise more than 2 hr/week |
To test if students, on average, exercise more than 2 hr/week, a random sample of exercise times of 25 students was collected with an average of 2.5 hours with a standard deviation of 0.5 hours. Ha: mu=2 vs. Ha: mu > 2. Test statistic t=5.0 with df=24. There is a chance that TYPE II Error could have been made.
True | |
False |
To test if students, on average, exercise more than 2 hr/week, a random sample of exercise times of 25 students was collected with an average of 2.5 hours with a standard deviation of 0.5 hours. Ha: mu=2 vs. Ha: mu > 2
Test statistic t=5.0 with df=24. At 5% significance level, your decision is to [select all that apply]:
Reject H0, bc t < - 2.064 or t > 2.064 |
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Reject H0, bc p-value < 0.05 |
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Fail to reject H0, bc t < - 1.711 |
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Reject H0, bc t > 1.711 |
Part 1:
Since p-value<0.10, we reject H0 at 10% level so
followings are false statements:
1. At 10%, the decision could have been different
2. p-value may have been greater than 5%
Part 2: Since we reject H0, Type I error is commited hence
There is a chance that TYPE II Error could have been made: False.
Part 3:
1. Reject H0, bc p-value < 0.05
2. Reject H0, bc t > 1.711
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