1) An interaction effect in a two-way factorial design A is the effect of one va
ID: 3227920 • Letter: 1
Question
1) An interaction effect in a two-way factorial design A is the effect of one variable that divides the groups, ignoring the influence of the other variable that divides the groups. B) occurs when the influence of one variable that divides the groups changes according to the level of the other variable that divides the group tests of a third, I D) Only occurs when there is some error in computation. 2) When considering both variables together, a 2 x 3factorial design has a total of sub-groups that are considered in the interaction. A) 2 B) 3 D) 6 The items below 3-6) are based on the following scenarios. The scenarios below are possible results ofa study in which participants completed a measure of how important religion was tothem personally. Participants are either from a Rural or Urban area, and are either Poor or Rich. Importance of Religon SCENARIO B Rural Urban Rural Urban Rural Urban Poor 50 80 65 Poor 50 50 50 Poor 40 50 45 Rich 50 50 50 Rich 8o so 80 Rich 40 To 55 50 65 65 65 40 60 3) which of the following interpretations is consistent with Scenario A? A) Religion is more important to poor people when they live in rural areas. I the urban areas, poor people are socialized to be more like rich people, who are less religious, regardless of where they live. B) Rich people, regardless of where they live, value religion moderately. Poor people value more in urban centers than in rural areas because it is more accessible. areas, regardless of how rich or poor they are.Explanation / Answer
1) Ans: B
Interaction occurs when one variable changes significantly that affect the other variable significantly.
2) Ans: B
Given 2 X 3 factors, two variables are mentioned in the question and obviously, it's 3 sub groups.
3) Ans: B
4) Ans: B
5) Ans: A
6) Ans: B
7) Ans: A
Since even with Pearson correlation, we can find the shape by interpreting the sign.
8) Ans: A
Maybe data disperse as we go out from the range of values
9) Ans: C
10) Ans: D
Regression is an estimated line and distance between estimated line and the actual dot is an error.
11) Ans: D
if the error in prediction is least then the regression line is best.
12) Ans: B
Always probability of area under the curve is 1.
13) Ans: D
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