Year: 2021

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.

OPTIONS Standard errors of coefficients go high Statistical accuracy goes down Variance of the Regression model increases Regression model is unstable ANSWER Variance of the Regression model increases EXPLANATION A model having a high VIF will always show slightly higher variance, which is a skewed...

OPTIONS Since VIF > 0, the variables are collinear Since VIF < 5, variables being collinear is not much of an issue High degree of collinearity amongst variables None of the above ANSWER Since VIF < 5, variables being collinear is not much of an...

OPTIONS That the data may be incorrect That the data may suffer from a lack of fit That the data may be an effect of special cause variability That the data needs treatment ANSWER That the data may be an effect of special cause variability...