Combine the data from the two: e. Prepare the analysis table manually (Show ALL Working) f. State the null hypothesis(es), the decision rule for a=0.05 and make the decision for each hypothesis. g. Confirm your answer using R Studio. Provide the code used and relevant output tables. h. Using R Studio, carry out relevant tests to determine if the assumption of normality and homogeneity of variance was violated. Carefully discuss your findings quoting relevant statistics in your response and provide the necessary hypotheses. (Provide the code and the relevant output tables)
Combine the data from the two: e. Prepare the analysis table manually (Show ALL Working) f. State the null hypothesis(es), the decision rule for a=0.05 and make the decision for each hypothesis. g. Confirm your answer using R Studio. Provide the code used and relevant output tables. h. Using R Studio, carry out relevant tests to determine if the assumption of normality and homogeneity of variance was violated. Carefully discuss your findings quoting relevant statistics in your response and provide the necessary hypotheses. (Provide the code and the relevant output tables)
MATLAB: An Introduction with Applications
6th Edition
ISBN:9781119256830
Author:Amos Gilat
Publisher:Amos Gilat
Chapter1: Starting With Matlab
Section: Chapter Questions
Problem 1P
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Step 1: Prepare the analysis of variance table manually.
VIEWStep 2: Use the given data to form the excel table and determine the degree of freedom for Anova table.
VIEWStep 3: Determine the sum of squares for two way Anova.
VIEWStep 4: Determine the mean square error, F statistics and Anova table.
VIEWStep 5: Perform hypothesis test for factor type of vehicle and color of vehicle.
VIEWStep 6: Perform hypothesis test for interaction between type and color of vehicle.
VIEWStep 7: Verify your manual calculations for Anova using R studio.
VIEWStep 8: Perform Shapiro-Wilk test for normality on the residuals.
VIEWStep 9: Perform Levene's test for homogeneity of variances.
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