Robert Altoff is vice president of engineering for a manufacturer of household washing machines. As part of a new product development project, he wishes to determine the optimal length of time for the washing cycle. Included in the project is a study of the relationship between the detergent used (four brands) and the length of the washing cycle (18, 20, 22, or 24 minutes). In order to run the experiment, 32 standard household laundry loads (having equal amounts of dirt and the same total weights) are randomly assigned to the 16 detergent-washing cycle combinations. The results (in pounds of dirt removed) are shown here: Detergent Brand A B с Cycle Time (min) 18 20 22 24 0.15 0.14 0.20 0.16 0.11 0.13 0.19 0.14 0.16 0.19 0.12 0.14 0.19 0.19 0.21 0.19 0.17 0.16 0.18 0.19 0.18 0.14 0.19 0.22 0.10 0.13 0.13 0.15 0.17 0.17 0.18 0.18 pictureClick here for the Excel Data File Required: a. Complete an ANOVA table. Use the 0.05 significance level. (Do not round your intermediate calculations. Enter your SS, MS, p- value to 3 decimal places, F to 2 decimal places, and F crit to 4 decimal places.) Source of Variation Cycle Time Brand Interaction Within Total ss df MS F p-value F crit
Robert Altoff is vice president of engineering for a manufacturer of household washing machines. As part of a new product development project, he wishes to determine the optimal length of time for the washing cycle. Included in the project is a study of the relationship between the detergent used (four brands) and the length of the washing cycle (18, 20, 22, or 24 minutes). In order to run the experiment, 32 standard household laundry loads (having equal amounts of dirt and the same total weights) are randomly assigned to the 16 detergent-washing cycle combinations. The results (in pounds of dirt removed) are shown here: Detergent Brand A B с Cycle Time (min) 18 20 22 24 0.15 0.14 0.20 0.16 0.11 0.13 0.19 0.14 0.16 0.19 0.12 0.14 0.19 0.19 0.21 0.19 0.17 0.16 0.18 0.19 0.18 0.14 0.19 0.22 0.10 0.13 0.13 0.15 0.17 0.17 0.18 0.18 pictureClick here for the Excel Data File Required: a. Complete an ANOVA table. Use the 0.05 significance level. (Do not round your intermediate calculations. Enter your SS, MS, p- value to 3 decimal places, F to 2 decimal places, and F crit to 4 decimal places.) Source of Variation Cycle Time Brand Interaction Within Total ss df MS F p-value F crit
MATLAB: An Introduction with Applications
6th Edition
ISBN:9781119256830
Author:Amos Gilat
Publisher:Amos Gilat
Chapter1: Starting With Matlab
Section: Chapter Questions
Problem 1P
Related questions
Question
Please solve it sir and dont do handwritten please explain concept .... if using excel

Transcribed Image Text:b. Choose the right option.
the null of no interaction between cycle time and detergent brand.
the null of no difference in means for the different cycle times.
the null of no difference in means for the different detergent brands.

Transcribed Image Text:Robert Altoff is vice president of engineering for a manufacturer of household washing machines. As part of a new product
development project, he wishes to determine the optimal length of time for the washing cycle. Included in the project is a study of the
relationship between the detergent used (four brands) and the length of the washing cycle (18, 20, 22, or 24 minutes). In order to run
the experiment, 32 standard household laundry loads (having equal amounts of dirt and the same total weights) are randomly
assigned to the 16 detergent-washing cycle combinations. The results (in pounds of dirt removed) are shown here:
Detergent
Brand
A
B
с
D
Cycle Time (min)
22
24
18 20
0.15 0.14 0.20 0.16
0.11 0.13 0.19 0.19
0.14 0.16 0.19 0.21
0.12 0.14 0.19 0.19
0.17 0.16 0.18 0.19
0.18 0.14
0.19
0.22
0.10 0.13
0.17
0.17
0.13 0.15 0.18 0.18
pictureClick here for the Excel Data File
Required:
a. Complete an ANOVA table. Use the 0.05 significance level. (Do not round your intermediate calculations. Enter your SS, MS, p-
value to 3 decimal places, F to 2 decimal places, and F crit to 4 decimal places.)
Source of Variation
Cycle Time
Brand
Interaction
Within
Total
SS
df
MS
F
p-value
F crit
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