Hypothesis Tests 3

9 Questions | By TerryWasley | Last updated: Mar 6, 2014 | Total Attempts: 1221

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Hypothesis Tests 3

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

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