CertifQ

OPTIONS The statistic of both the groups don’t differ significantly The statistic of both the groups differ significantly The statistic of both the groups are found of a mixed level None of the above ANSWER The statistic of both the groups don’t differ significantly EXPLANATION...

OPTIONS Type III error Type II error Power Type I error ANSWER Power EXPLANATION Power indicates accuracy of a test, so POWER is correct.

OPTIONS The test will have a high chance of errors The risk in the experiment is low The probability of committing a Type I error is high The risk in the experiment is high ANSWER The probability of committing a Type I error is high...

OPTIONS He committed a Type I error He committed a Type II error He committed a Type III error None of the above ANSWER He committed a Type I error EXPLANATION The condition described in the question best meets the description of a Type I...

OPTIONS Z testF testT testANOVA ANSWER T test EXPLANATION Typically for sample size less than 30, one would use the T test.

OPTIONS 36%, 64% 32%, 68% 38%, 62% 40%, 60% ANSWER 38%, 62% EXPLANATION Using standard confidence intervals formula, 38%, 62% is correct.

OPTIONS Normal Distribution T distribution Chi-Square Distribution Binomial ANSWER Chi-Square Distribution EXPLANATION Chi-Square distribution is typically used for determining confidence intervals for variances, so Chi-Square Distribution is correct.

OPTIONS 0.025 0.0025 0.02 0.05 ANSWER 0.025 EXPLANATION Using Chi-Square confidence intervals, the correct answer is 0.025.

OPTIONS 19,21 18,22 19.5,20.5 18.5,21.5 ANSWER 19.5,20.5 EXPLANATION Using confidence intervals formula, 19.5,20.5 is correct.

OPTIONS Coefficient of Variance Deviation Mean Deviation Sum of Squares ANSWER Mean Deviation EXPLANATION Mean Deviation is the average of absolute mean deviations.