Hypothesis Tests 3
9 Questions
| Total Attempts: 1562
Evaluating and interpreting p-values
Questions and Answers
- 1.Hypotheses in a significance test are always stated in terms of the population parameters.
- A.
True
- B.
False
- 2.When a p-value is high, this means there is strong evidence against the null hypothesis
- A.
True
- B.
False
- 3.If a p-value for a 2-sided test equals .065, the p-value for the 1-sided test using the same sample data will not be significant at the 1% level.
- A.
True
- B.
False
- 4.A t-test is used when the population standard deviation for a mean is unknown.
- A.
True
- B.
False
- 5.When a sample statistic is close to the believed population parameter, the p-value for a significance test will typically be low.
- A.
True
- B.
False
- 6.
If a 95% confidence interval for a population mean is (8.67, 11.26) then a 2-sided test for the hypothesis will most likely find evidence to reject Ho at the 5% level.- A.
True
- B.
False
- 7.If the results of a hypothesis test are significant at the 1% level then they are also significant at the 5% level
- A.
True
- B.
False
- 8.If the p-value is .013, the probability that Ho is true is only .013
- A.
True
- B.
False
- 9.Review: The critical value (z*) used for a 99% confidence interval for a sample mean when the population standard deviation is known is 2.576
- A.
True
- B.
False
Back to top