Hypothesis Tests 3

9 Questions | 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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