ANOVA ANOVA Thickness - Formulation Residuals ANOVA ANOVA Strength Formulation Residuals ANCOVA Sum of Squares 4.55 58.40 Formulation Thickness Residuals Sum of Squares ANCOVA - Strength 11.5 78.7 Sum of Squares 1.90 58.24 20.50 df 3 16 df 3 16 df 3 1 15 Mean Square 1.52 3.65 Mean Square 3.85 4.92 Mean Square 0.633 58.240 1.367 F 0.416 F 0.782 F 0.463 42.615 р 0.744 Р 0.521 [3] р 0.712 <.001
ANOVA ANOVA Thickness - Formulation Residuals ANOVA ANOVA Strength Formulation Residuals ANCOVA Sum of Squares 4.55 58.40 Formulation Thickness Residuals Sum of Squares ANCOVA - Strength 11.5 78.7 Sum of Squares 1.90 58.24 20.50 df 3 16 df 3 16 df 3 1 15 Mean Square 1.52 3.65 Mean Square 3.85 4.92 Mean Square 0.633 58.240 1.367 F 0.416 F 0.782 F 0.463 42.615 р 0.744 Р 0.521 [3] р 0.712 <.001
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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Four different formulations of an industrial glue are being tested. Each of the different formulations were randomly applied to joint parts of five test specimen and the tensile strength of the glue when it is applied to each test specimen is recorded. However, the tensile strength is also related to the application thickness. The data on the strength (in lbs) and thickness (in 0.01 inches) are shown in the following table.
Assuming all assumptions for ANOVA/ANACOVA to be valid are satisfied, perform the NECESSARY tests of hypotheses to determine if there are differences on the different formulations of an industrial glue at 5% level of significance.
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