The following table represents a two-factor experiment, with each factor having two levels. The numbers in each cell are the mean performance scores of each group after the experimental treatment. Note that one mean value is not given. What value of the missing mean would result in no interaction effect of factor A & factor B? B1 B2
A1 |
50 |
25 |
A2 |
35 |
? |
A. 5
B. 10
C. 15
D. 20
E. 25
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The following table represents a two-factor experiment, with each factor having two levels. The numbers in...
The results of a two-factor, independent-measures, equal n experiment are summarized in the following matrix. The numerical value in each cell is the mean score obtained from the sample in that treatment condition B B2 А M=4 M-2 M- Az M = 6 M-8 ME M M Compute the overall means for the scores in A, the scores in Az, the scores in B, and the scores in B2. Enter each of the means to the right of the appropriate...
3. Gravetter/Wallnau/Forzano, Essentials - Chapter 13 - End-of-chapter question 17 Aa Aa The following matrix presents the results from an independent-measures, two-factor study with a sample of n participants in each treatment condition. Note that one treatment mean is missing. 10 Factor B B2 Factor A A1 A2 B1 M-5 What value for the missing mean would result in no main effect for factor A? What value for the missing mean would result in no main effect for factor B?...
The calculations for a factorial experiment involving four levels of factor A, three levels of factor B, and three replications resulted the following data: SST 291, SSA 26, SSB 25, SSAB 180. =.05, Show entries to 2 decimals, If necessary Set up the ANOVA table and test for significance using the answer is zero enter "0". Source of Variation Sum of Squares Degrees of Freedom Mean Square F p-value X X Factor A Factor B Interaction 24 Error 35 Total...
For an experiment involving two levels of factor A and three levels of factor B with a sample of n = 6 in each treatment condition, what is the value for dferror?
A factorial experiment involving two levels of factor A and three levels of factor B resulted in the following data. Factor B Level 1 Level 2 Level 3 135 90 75 Level 1 165 93 Factor A 135 127 120 Level 2 85 105 136 Test for any significant main effects and any interaction. Use α-.05. Round Sum of Squares, F value, Mean Square to two decimals, if necessary. Source of Variation Factor A Factor B Interaction Error Total Sum...
A partial result of the computation for a two-factor factorial experiment is given as follows (assume that the number of experimental units in each group is fixed): Source of Variation SS df MS F Factor A 48 4 12 1 Factor B 6 5 Interaction (AB) 24 15 Error 105 - Total 139 - - A) Fill in all the missing results in the ANOVA table. B) At the 0.05 level of significance, is there an interaction effect? (Show your...
A factorial experiment involving two levels of factor A and three levels of factor B resulted in the following data. Factor B Level 1 Level 2 Level 3 125 100 65 Level 1 155 76 103 Factor A 105 147 140 Level 2 95 125 156 Test for any significant main effects and any interaction. Use . Round Sum of Squares, value, Mean Square to two decimals, if necessary and -value to four decimals. Source of Variation Sum of Squares Degrees...
The following table summarizes the results of a two-factor ANOVA evaluating an independent-measures experiment with 2 levels of factor A, 3 levels of factor B, and n = 6 participants in each treatment condition. A. Fill in all missing values in the table. Show your work (i.e., all computational steps for finding the missing values). Hint: start with the df values. B. Do these data indicate any significant effects (assume p < .05 for hypothesis testing of all three effects)?...
The following table shows the results of a two-factor ANOVA evaluating an independent-measures experiment with three levels of factor A, three levels of factor B, and n = 10 participants in each treatment condition. a. What is the calculated F value for the interaction? Source SS df MS Between Treatments 124 Factor A 20 10 F A= Factor B 42 F B= A*B 20 F A*B=? Within Treatments 324 Total 1. F=13 2. F=5 3. F=2.5 4. F =...
You conduct an experiment involving two levels of
self-confidence (a1 is low, and a2 is high)
and examine participants’ anxiety scores after they speak to one of
four groups of differing sizes (b1 through b4 represent speaking to
a small, medium, large, or extremely large group,
respectively).
You compute the following sums of squares (n=5 and
N=40).
1. Complete the ANOVA summary table above. [Show where your #s
come from – i.e., show your work; only df needed for Total.]...