MGSC 291 OPTIONAL FINAL EXAM QUESTIONS
The P-value of a hypothesis test is the probability of seeing a test statistic that extreme
or more - Answers -in the direction of the alternative hypothesis if the null is true
The Type II error rate of a statistical hypothesis test should be - Answers -small
The interpretation of a hypothesis test result is about the - Answers -parameter
The Type I error rate of a statistical test is - Answers -P[reject HO|HO is true]
Power - Answers -P[reject HO|HO is false]
A good strategy for increasing power is to - Answers -increase the sample size
Type II error rate - Answers -P[fail to reject HO| HO is false]
Using the same data set to construct a confidence interval, a 99% interval will be -
Answers -wider than a 95% interval
Increasing the sample size will make a confidence interval - Answers -narrower
Why do we want experiments to be replicated when carrying out a Two-Way ANOVA? -
Answers -So that we can test for the interaction
You want to study whether the percent of shoppers who use credit cards for groceries is
less than 25%. Identify the correct null and alternative hypothesis - Answers -HO:
p=0.25, HA: p<0.25
Your statistical hypothesis test returns a P-value of 0.0001. You should conclude -
Answers -there is strong evidence for the alternative hypothesis
Your statistical hypothesis test returns a P-value of 0.20. You should conclude: -
Answers -there is little to no evidence for the alternative hypothesis
Suppose you conducted a statistical hypothesis test and it results in a P-value of 0.10
with an α of 0.05. You should - Answers -Fail to reject HO (do not find for HA)
Suppose we have conducted a hypothesis test and conclude to not reject HO. Which
one of the following statements is correct? - Answers -A Type II error may have been
made
Your 95% confidence interval for µ1 - µ2 is (3, 5). For the test of HO: µ1 - µ2 = 0 against
µ1 - µ2 ≠ 0 at an α of 0.05, you would - Answers -Reject HO (bc 0 is not in the interval)
The P-value of a hypothesis test is the probability of seeing a test statistic that extreme
or more - Answers -in the direction of the alternative hypothesis if the null is true
The Type II error rate of a statistical hypothesis test should be - Answers -small
The interpretation of a hypothesis test result is about the - Answers -parameter
The Type I error rate of a statistical test is - Answers -P[reject HO|HO is true]
Power - Answers -P[reject HO|HO is false]
A good strategy for increasing power is to - Answers -increase the sample size
Type II error rate - Answers -P[fail to reject HO| HO is false]
Using the same data set to construct a confidence interval, a 99% interval will be -
Answers -wider than a 95% interval
Increasing the sample size will make a confidence interval - Answers -narrower
Why do we want experiments to be replicated when carrying out a Two-Way ANOVA? -
Answers -So that we can test for the interaction
You want to study whether the percent of shoppers who use credit cards for groceries is
less than 25%. Identify the correct null and alternative hypothesis - Answers -HO:
p=0.25, HA: p<0.25
Your statistical hypothesis test returns a P-value of 0.0001. You should conclude -
Answers -there is strong evidence for the alternative hypothesis
Your statistical hypothesis test returns a P-value of 0.20. You should conclude: -
Answers -there is little to no evidence for the alternative hypothesis
Suppose you conducted a statistical hypothesis test and it results in a P-value of 0.10
with an α of 0.05. You should - Answers -Fail to reject HO (do not find for HA)
Suppose we have conducted a hypothesis test and conclude to not reject HO. Which
one of the following statements is correct? - Answers -A Type II error may have been
made
Your 95% confidence interval for µ1 - µ2 is (3, 5). For the test of HO: µ1 - µ2 = 0 against
µ1 - µ2 ≠ 0 at an α of 0.05, you would - Answers -Reject HO (bc 0 is not in the interval)
