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10.116 The following table shows a partially completed ANOVA table for a two-factor factorial experiment. Source A B AXB Error Total df 53 ما نیا SS 3.6 10.2 19.7 MS 4.1 F 47 a. Complete the ANOVA table. b. How many levels were used for each factor? How many treatments were used? How many replications were performed? c. Find the value of the sum of squares for treatments. Test to determine whether the data provide evidence that the treatment means differ. Use a = .05.

10.116 The following table shows a partially completed ANOVA table for a two-factor factorial experiment. Source A B AXB Error Total df 53 ما نیا SS 3.6 10.2 19.7 MS 4.1 F 47 a. Complete the ANOVA table. b. How many levels were used for each factor? How many treatments were used? How many replications were performed? c. Find the value of the sum of squares for treatments. Test to determine whether the data provide evidence that the treatment means differ. Use a = .05.

MATLAB: An Introduction with Applications
MATLAB: An Introduction with Applications
6th Edition
ISBN:9781119256830
Author:Amos Gilat
Publisher:Amos Gilat
Chapter1: Starting With Matlab
Section: Chapter Questions
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10.116 The following table shows a partially completed ANOVA table for a two-factor factorial experiment. Source A B AXB Error Total df 5 3 SS 3.6 10.2 19.7 MS 4.1 F 47 a. Complete the ANOVA table. b. How many levels were used for each factor? How many treatments were used? How many replications were performed? c. Find the value of the sum of squares for treatments. Test to determine whether the data provide evidence that the treatment means differ. Use a = .05. d. Is further testing of the nature of factor effects war- ranted? If so, test to determine whether the factors interact. Use α = .05. Interpret the result.
Transcribed Image Text:10.116 The following table shows a partially completed ANOVA table for a two-factor factorial experiment. Source A B AXB Error Total df 5 3 SS 3.6 10.2 19.7 MS 4.1 F 47 a. Complete the ANOVA table. b. How many levels were used for each factor? How many treatments were used? How many replications were performed? c. Find the value of the sum of squares for treatments. Test to determine whether the data provide evidence that the treatment means differ. Use a = .05. d. Is further testing of the nature of factor effects war- ranted? If so, test to determine whether the factors interact. Use α = .05. Interpret the result.
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