In the Before-After with Use of a control group controls for the Main Testing Ef
ID: 3250227 • Letter: I
Question
In the Before-After with Use of a control group controls for the Main Testing Effect a) Use of a control group controls for the Interactive Testing Effect b) Use of a control group controls both, the Interactive and the Main Testing Effect c) Use of a control group controls for neither, the Interactive and the Main Testing Effect d) The name of the design is a misnomer, there is no Control group as such e) Control Group design
Researcher decided to use a Before-After with Control Group Design, to test the impact of an add on the attitudes toward a brand A. In order to decrease the potential interactive testing effect the researcher decided to use many brands, without realizing that this may increase the: a) Main Testing effect b) Mortality Effect c) Maturation Effect d) Main Instrument Variation e) Another effect starting with an “M” which I can not recall, at the moment
Consumption of candy was cross-tabulated by Age. The computed Chi-square was larger then the "critical" Chi-squared. In other words, the significance level was, let’s say,=0.000. Therefore, the analyst should conclude: a) consumption of candy and age are statistically independent b) data shows a strong linear relationship c) age is not a good predictor of consumption of candy d) consumption of candy and age are statistically dependent e) degrees of freedom for consumption variable is larger than age
Consumption of candy was cross-tabulated by Age. The computed Chi-square was larger then the "critical" Chi-squared. In other words, the significance level was, let’s say=0.000. Therefore, the analyst should conclude that Age is potentially a good segmenting variable: a) True b) False
The Stepwise procedure, available in Analysis of Variance and Linear Regression, will do the following: a) Enter into analysis one independent variable at the time, after removing its impact on all other independent variables b) Adjust the sampling distribution for the number of independent variable after the analysis is performed c) Convert nominal variables into interval ones d) All of the above e) None of the above
In a linear regression model, used for prediction of consumption of candy, among the independent variables you found: Size of Family and Number of Children under 15. This model will suffer from: a) Heteroscedasticity b) Homoscedasticity c) Homogeneity d) Multicolinearity e) Low reliability, as the children grow
Explanation / Answer
In the Before-After with Use of a control group controls for the Main Testing Effect
Answer: Use of a control group controls both, the Interactive and the Main Testing Effect
Researcher decided to use a Before-After with Control Group Design, to test the impact of an add on the attitudes toward a brand A. In order to decrease the potential interactive testing effect the researcher decided to use many brands, without realizing that this may increase the:
Answer : Main Testing effect
Consumption of candy was cross-tabulated by Age. The computed Chi-square was larger then the "critical" Chi-squared. In other words, the significance level was, let’s say,=0.000. Therefore, the analyst should conclude:
Answer : consumption of candy and age are statistically independent
Consumption of candy was cross-tabulated by Age. The computed Chi-square was larger then the "critical" Chi-squared. In other words, the significance level was, let’s say=0.000. Therefore, the analyst should conclude that Age is potentially a good segmenting variable:
Answer :True