A manufacturer of paper used for making grocery bags is interested in improving the tensile strength of the product. Product engineering thinks that tensile strength is a function of the hard-wood concentration in the pulp and that the range of hardwood concentrations of practical interest is between 5 and 20%. A team of engineers responsible for the study decides to investigate four levels of hardwood concentration: 5%, 10%, 15%, and 20%. They decide to make up six test specimens at each concentration level, using a pilot plant. Using the data given below: a. Complete the ANOVA table. b. At 0.05 significance level, test whether there is a difference in mean tensile strength based on Hardwood Concentration.
A manufacturer of paper used for making grocery bags is interested in improving the tensile strength of the product. Product engineering thinks that tensile strength is a function of the hard-wood concentration in the pulp and that the range of hardwood concentrations of practical interest is between 5 and 20%. A team of engineers responsible for the study decides to investigate four levels of hardwood concentration: 5%, 10%, 15%, and 20%. They decide to make up six test specimens at each concentration level, using a pilot plant. Using the data given below: a. Complete the ANOVA table. b. At 0.05 significance level, test whether there is a difference in mean tensile strength based on Hardwood Concentration.
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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A manufacturer of paper used for making grocery bags is interested in improving the tensile strength of the product. Product engineering thinks that tensile strength is a
a. Complete the ANOVA table.
b. At 0.05 significance level, test whether there is a difference in mean tensile strength based on Hardwood Concentration.
Transcribed Image Text:Hardwood
Observations
Concentration (%)
3
4
5
6
5
7
8
15
11
10
10
12
17
13
18
19
15
15
14
18
19
17
16
18
20
19
25
22
23
18
20
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