Using the following table, provide three examples of a simple
one- way ANOVA, two examples of a two-factor ANOVA, and one example
of a three.factor ANOVA. We show you some examples. Be sure to
identify the grouping and the test variable as we have done
here.
Using the following table, provide three examples of a simple one- way ANOVA, two examples of a two-factor ANOVA, and on...
Consider the following partially completed two-way ANOVA table. Suppose there are four levels of Factor A and two levels of Factor B. The number of replications per cell is 4. Use the 0.01 significance level. (Hint: Estimate the values from the Ftable.) a. Complete an ANOVA table. (Round MS and Fto 2 decimal places.) ANOVA SS df MS F Source Factor A 70 3 1.40 Factor B 50 11 23.33 50.00 70.00 3.00 Interaction 210 3 4.20 Error 24 16.67...
7. Finish the following two-way ANOVA table. There are four levels of Factor A (columns) and two levels of Factor B (rows), with 10 people in each group!!!!! df MS Source col row interaction 12 720 within total a. dfcol b. dfrow c. dfva d. dfw e. dfptal f. MSw g. MSco h. SSool i. MSrow j. SSow k. SSva 1470 I. MSia m. Fia
7. Finish the following two-way ANOVA table. There are four levels of Factor A (columns)...
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 =...
Complete the following ANOVA summary table for a model, where there are three levels of factor A selected by the researcher and two levels of factor B selected at random. Each cell of the design includes 40 students (α = .05). In statistical language (symbols) what are the most appropriate null and alternative hypothesis for each factor (effect) for the model? SS DF MS F Critical Value Decision A 2000 B 1000 AB 3000 Within 1755 Total 7755
The calculations for a factorial experiment involving four levels of factor A, three levels of factor B, and three replications resulted in the following data: SST 278, SSA 21, SSB = 24, SSAB = 180. a. set up the ANOVA table and test for significance using ?-.05. Show entries to 2 decimals, if necessary. Round p-value to four decimal places. If your answer is zero enter "O". Source of Variation Sum of Squares Degrees of Freedom Mean Square Factor A...
Saved Help Consider the following partially completed two-way ANOVA table. Suppose there are 5 levels of Factor A and 4 levels of Factor B. The number of replications per cellis 3. Use the 0.01 significance level. (Hint: estimate the values from the Ftable.) 1. Complete an ANOVA table. (Round MS and Fto 2 decimal places.) Source MSF Factor A Factor B Interaction 2. Find the critical values to test for equal means. (Round your answers to 2 decimal places.) Critical...
Please show your work
The following table summarizes the results of a two-factor ANOVA evaluating an independent- measures experiment with two levels of factor A three levels of factor B, and n= 5 subjects in each separate sample. a. Fill in all missing values in the table. (Hint: Start with the df column.) Source SS df MS Between Treatments 60 Fbtw = Factor A FA= 5 Factor B FB= Ах В 30 FAB= I Within Treatments Total
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...
7. In a two-way ANOVA, the researcher makes decisions regarding _____ null hypotheses. two interdependent three separate three interdependent two separate 9. A researcher is interested in the effects of playing violent video games on aggressive behavior. There are two independent variables in his study—1) the type of video game played (violent or nonviolent), and 2) the amount of time spent playing the video game (either one day or one week). At the end of the testing phase each participant...
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...