2.Which of the following is used to calculate the degrees of freedom for the AxB
ID: 3360050 • Letter: 2
Question
2.Which of the following is used to calculate the degrees of freedom for the AxB interaction?
dfwithin - (dfA + dfB)
dfA - dfB
dfbet. treatments - dfA - dfB
dfbet. treatments - dfwithin
3.For an experiment involving 2 levels of factor A and 3 levels of factor B, with a sample of n = 6 in each treatment condition, what are the df values for the F-ratio for the interaction?
6, 30
5, 30
2, 30
3, 30
4.The results of a two-factor analysis of variance produce df = 2, 28 for the F-ratio for factor A, and df = 2, 28 for the F-ratio for the AxB interaction. Based on this information, how many levels of factor B were compared in the study?
3
1
cannot be determined without additional information
2
5.In a two-factor analysis of variance a main effect is defined as ____.
the mean difference between the two factors
the difference between the largest treatment mean and the smallest treatment mean
the mean differences among the levels of one factor
the mean differences among all treatment conditions
6.The analysis of variance for a two-factor experiment produces ____.
four separate F-ratios
three separate F-ratios
two separate F-ratios
one overall F-ratio followed by a series of required post hoc tests
7.A two-factor, independent-measures research study is evaluated using an analysis of variance. The F-ratio for factor A has df = 2, 36 and the F-ratio for factor B has df = 3, 36. Based on this information, what are the df values for the AxB interaction?
df = 6, 72
df = 5, 36
df = 5, 72
df = 6, 36
8.If a two-factor analysis of variance produces a statistically significant interaction, then you can conclude that ____.
the significance of the main effects is not related to the significance of the interaction
either the main effect for factor A or the main effect for factor B is also significant
both the man effect for factor A and the main effect for factor B are significant
neither the main effect for factor A nor the main effect for factor B is significant
9.For an experiment involving 2 levels of factor A and 3 levels of factor B, with a sample of n = 10 in each treatment condition, what are the df values for the F-ratio for factor A?
1, 54
2, 9
2, 54
1, 9
10.A two-factor experiment means that the experimental design includes ____.
two independent variables
an interaction between the independent and the dependent variable
exactly two separate groups of subjects
two dependent variables
11.The results from a two-factor analysis of variance show a significant main effect for factor A and a significant main effect for factor B. Based on this information, you can conclude that
there must by a significant interaction.
you cannot make any conclusion about the significance of the interaction.
there probably is a significant interaction
the interaction cannot be significant.
12.For a two-factor experiment with 2 levels of factor A and 3 levels of factor B and n = 10 subjects in each treatment condition, there is a total of ____ subjects in each level of factor A and a total of ____ subjects in each level of factor B.
30, 20
10, 10
60, 60
20, 30
13.The data from a two-factor study are organized in a matrix with one factor defining the rows and one factor defining the columns. The mean (M) and the SS is computed for each cell in the matrix. What value is obtained by summing the means (M values) from all the cells?
SSbetween treatments
SSwithin treatments
The sum does not correspond to any meaningful part of the analysis.
SSAxB
14.In analysis of variance, an independent variable is called a level.
True
False
15.If a two-factor analysis of variance produces a significant interaction, you should be cautious about interpreting the main effects whether or not they are significant.
True
False
16.The variance within treatments, MSwithin, is used as the denominator for all three F-ratios in an independent-measures two-factor analysis of variance.
True
False
17.The results from a two-factor analysis of variance show that the F-ratio for factor A has df = 1, 30 and the F-ratio for factor B has df = 2, 30. Based on this information, the research study included a total of 6 different treatment conditions.
True
False
19.For an independent-measures two-factor experiment, the smaller the values for the sample variances, the more likely it is that at least one of the F-ratios will be significant.
True
False
Explanation / Answer
5) In a two-factor analysis of variance a main effect is defined as the mean differences among different levels of one factor.
6)The analysis of variance for a two-factor experiment produces three separate F-ratios
7) .A two-factor, independent-measures research study is evaluated using an analysis of variance. The F-ratio for factor A has df = 2, 36 and the F-ratio for factor B has df = 3, 36. Based on this information, what are the df values for the AxB interaction 6,36
8) If a two-factor analysis of variance produces a statistically significant interaction, then you can conclude that the significance of the main effects is not related to the significance of the interaction.
9)For an experiment involving 2 levels of factor A and 3 levels of factor B, with a sample of n = 10 in each treatment condition, what are the df values for the F-ratio for factor A is (1, 54)
10) A two-factor experiment means that the experimental design includes two independent variables..
PLEASE NOTE I HAVE ANSWERED Q5,6 ,7 ,8 9 AND 10. PLEASE POST REST AGAIN. I HAVE ANSWERED MY BEST 6.
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