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Points Awarded  34.00  Points Missed  6.00  Percentage  85.0% 
1.
The level of significance associated with a significance test is the probability
A) of rejecting a true null hypothesis.
B) of not rejecting a true null hypothesis.
C) that the null hypothesis is true.
D) that the alternative hypothesis is true.
Feedback: This level of significance, commonly set to α equal to 0.05, is used to set the cutoff as the maximum probability a researcher would use in order to reject a true null hypothesis. Points Earned:  1.0/1.0   Correct Answer(s):  A 
2.
A null hypothesis is that the average pulse rate of adults is 70. For a sample of 64 adults, the average pulse rate is 71.8. A significance test is done and the pvalue is 0.02. What is the most appropriate conclusion based on α of 0.05?
A) Conclude that the population average pulse rate is 70.
B) Conclude that the population average pulse rate is 71.8.
C) Reject the hypothesis that the population average pulse rate is 70.
D) Reject the hypothesis that the sample average pulse rate is 70.
Feedback: Since the pvalue is less than α we would reject the Ho the null hypothesis that the population average pulse rate is 70. Points Earned:  1.0/1.0   Correct Answer(s):  C 
3.
If the result of a hypothesis test for a proportion is statistically significant, then
A) the null hypothesis is rejected.
B) the alternative hypothesis is rejected.
C) the population proportion must equal the null value.
Feedback: When a hypothesis test is statistically significant then we reject Ho the null hypothesis Points Earned:  1.0/1.0   Correct Answer(s):  A 
4.
Which of the following conclusions is not equivalent to rejecting the null hypothesis?
A) The results are statistically significant.
B) The results are not statistically significant.
C) The alternative hypothesis is