The results of a two-factor, independent-measures, equal n experiment are summarized in the following matrix. The...
The following results are from an independent-measures, two-factor study with n condition. 10 participants in each treatment Factor B Factor A 2 T 40 M=4.00 SS = 50 T=50 M = 5.00 SS = 60 T= 10 M 1.00 SS 30 T=20 M 2.00 SS 40 N = 40; G = 120; Σ? = 640 Use a two-factor ANOVA with α =。05 to evaluate the main effects and the interaction Source df MS Between treatments AxB Within treatments Total For...
The following results are from an independent-measures, two-factor study with n = 5 participants in each treatment condition Factor A: Factor B: 3 M=5 M=8 M=14 T=25 T=40 T=70 SS 30 SS 38 SS46 n=5 n=5 n=5 2 T= 15 T-20 T=40 SS 22 SS 26 SS 30 ZX2 = 2,062 Use a two-factor ANOVA with α = .05 to evaluate the main effects and interaction. Source df MS Between treatments A x B Within treatments Total F Distribution Numerator...
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
The following two-way table gives data for a 2 × 2 factorial experiment with two
observations
per factor-level combination: The data are saved in the LM.TXT file. Factor B
Level 1 2
Factor A 1 29.6, 35.2 47.3, 42.1
2 12.9, 17.6 28.4, 22.7 a. Identify the treatments for this experiment. Calculate and plot the treatment means, using
the response variable as y-axis and the levels of factor B as the x-axis. Use the levels of
factor A as plotting symbols. Do...
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 =...
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?...
1. The analysis of variance of a completely randomized, two-factor experiment led to the following results. SS Source of Variation Factor A Factor B Interaction Error Total 64.13333 3328.133 2520.933 417.6 6330.8 MS 32.0667 1664.07 630.233 11.6 2.764368 143.454 54.33046 1.1. Interpret these results, discussing what factors have a significant effect on the response variable. Use a significance level of 0.05. (5 points)
ider the following graphic results from a 2 x 2 factorial experiment. These results show 100 A1 50 A2 a. there is a significant main effect for factor A, no other significant effects b. there is a significant main effect for factor B, no other significant effects c. there is a significant interaction effect, no other significant effects d. there is a significant main effect for factor A, a significant interaction effect, and no other significant effects e. there is...
Lesson: -Factorial designs have more than one independent variable or factors. -A two way factorial design has two independent variables, a three-way factorial design has three independent variables and so forth. -A 2x2 design has two factors and two levels of each. -A 2x3 design also has two factors but one has two levels and one has three. -A 3x3 design has two factors and each factor has 3 levels. Each example has 2 independent variables or factors. Comparison of...
5. Presenting means in graphs Aa Aa Suppose you randomly decide whether to administer Treatment A or Treatment B to each of 120 volunteers, such that 40 female volunteers received Treatment A, 20 female volunteers received Treatment B, 20 male volunteers received Treatment A, and 40 male volunteers received Treatment B. Treatments A and B are two different doses of the same drug intended to improve memory. After volunteers receive their treatment, they take a memory test and are given...