Stat 200 Exam 2 Essay


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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 …show more content…
B) The probability that the subject is just guessing.
C) The probability of 70 or more correct guesses if the subject has ESP.
D) The probability of 70 or more correct guesses if the subject is guessing at the chance rate.
Feedback: The null hypothesis would be that the subject is guessing, i.e. Ho: ρ = 1/4. Then the pvalue is the probability that if the subject were guessing that they would get 70 or more right Points Earned:  1.0/1.0   Correct Answer(s):  D 
8.
Suppose the significance level for a hypothesis test is α = 0.05. If the pvalue is 0.049, the decision is to
A) reject the null hypothesis.
B) accept the null hypothesis.
C) not reject the null hypothesis.
Feedback: With pvalue <e; α our decision is to reject the null hypothesis Ho Points Earned:  1.0/1.0   Correct Answer(s):  A 
9.
Which statement is true about xbar and ρhat?
A) They are both parameters.
B) They are both statistics.
C) xbar is a parameter and ρhat is a statistic.
D) ρhat is a parameter and xbar is a statistic.
Feedback: Both xbar and ρhat represent statistics. Points Earned:  0.0/1.0   Correct Answer(s):  B 
10.
Which of the following statements is correct about a parameter and a statistic associated with repeated random samples of the same size from the same population?
A) Values of a parameter will vary from sample to…

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