Suppose you are a product engineer for a tool manufacturing company, and want to investigate the strength of several new prototype redesigns of one of your drills. You have 13 new drill designs and would like to include a control group also of the original drill design. Your firm has decided to sample 33 drills for each new drill design and 33 drills in the control group with the original drill Using this information, you conduct an ANOVA test based on a quantitative measure of the drill's performance, and find that there is a sum of squares between treatments of 2593.9, along with a sum of squares error of 5534.0. Using this information, what was the MSE of your analysis?

MATLAB: An Introduction with Applications
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Suppose you are a product engineer for a tool manufacturing company, and
want to investigate the strength of several new prototype redesigns of one of
your drills. You have 13 new drill designs and would like to include a control
group also of the original drill design. Your firm has decided to sample 33 drills
for each new drill design and 33 drills in the control group with the original drill.
Using this information, you conduct an ANOVA test based on a quantitative
measure of the drill's performance, and find that there is a sum of squares
between treatments of 2593.9, along with a sum of squares error of 5534.0.
Using this information, what was the MSE of your analysis?
Transcribed Image Text:Suppose you are a product engineer for a tool manufacturing company, and want to investigate the strength of several new prototype redesigns of one of your drills. You have 13 new drill designs and would like to include a control group also of the original drill design. Your firm has decided to sample 33 drills for each new drill design and 33 drills in the control group with the original drill. Using this information, you conduct an ANOVA test based on a quantitative measure of the drill's performance, and find that there is a sum of squares between treatments of 2593.9, along with a sum of squares error of 5534.0. Using this information, what was the MSE of your analysis?
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