BUS 421 CH 13 Quiz

What is a Type I Error? A) Incorrect rejection of a false hypothesis B) Incorrect rejection of a true hypothesis C) Correct rejection of a true hypothesis D) Correct rejection of a false hypothesis

B

What is a Type II Error? * A) Incorrect rejection of a false hypothesis B) Incorrect rejection of a true hypothesis C) Correct rejection of a false hypothesis D) Correct rejection of a true hypothesis

A

What is a contrast? A) Linear combination of variables whose coefficients add up to one, allowing comparison of different means among experimental conditions B) Linear combination of variables whose coefficients add up to zero, allowing comparison of different means among experimental conditions C) Linear combination of variables whose coefficients add up to zero, allowing comparison of different analyses of variance among experimental conditions D) Linear combination of variables whose coefficients add up to one, allowing comparison of different analyses of variance among experimental conditions

B

What is a false positive for A/B testing? A) Results of the exploration stage lead to the belief that options A or B differ in their success B) Results of the exploration stage lead to the belief that one of the options A or B is more successful than the other, when in reality they are likely to perform the same in the exploitation stage C) Results of the exploration stage lead to the belief that options A or B do not differ in their success, when in reality one is likely to outperform the other in the exploitation stage D) Results of the exploration stage lead to the belief that neither of the options A or B is more successful than the other, and in reality they are likely to perform the same in the exploitation stage

B

What is standard deviation? A) Theoretical distribution of large population B) Number indicating the extent to which individual results deviate from the group C) A measure of the statistical accuracy of an estimate D) Number indicating the extent to which distinct outliers deviate from the group

B

What is statistical significance? A) The probability that a statistical test will support the null hypothesis given that it is rue B) The measure of whether a research finding is meaningful because it is unlikely the fining has occurred by chance or error C) The probability that a statistical test will support the null hypothesis given that it is false D) The importance of a statistical problem

B

Which is NOT a key analytics tool for A/B testing? A) ANOVA B) T-test C) Cluster analysis D) Bayesian statistical test

C

What is a false negative of A/B testing? A) Results of the exploration stage lead to the belief that neither of the options A or B is more successful than the other, and in reality they are likely to perform the same in the exploitation stage B) Results of the exploration stage lead to the belief that options A or B differ in their success, and in reality one is likely to outperform the other in the exploitation stage C) Results of the exploration stage lead to the belief that one of the options A or b is more successful than the other, when in reality they are likely to perform the same in the exploitation stage D) Results of the exploration stage lead to the belief that options A or B do not differ in their success, when in reality one is likely to outperform the other in the exploitation stage

D

What is a fixed horizon in A/B testing? A) A final goal of the A/B test B) A concrete explanation of the results of an A/B test C) An end-point time to analyzing the data D) An end-point time to collect the data

D

Which is FALSE about Bayesian statistics? * A) Invented by a minister B) Apply past evidence to statistical models C) Use prior beliefs to influence statistical models D) Require fixed horizons

D