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 15 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 design. 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 2594.0, along with a sum of squares error of 5245.8. Using this information, what was the F-statistic of your analysis? Only round final answer. Round to two decimal places.
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 15 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 design. 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 2594.0, along with a sum of squares error of 5245.8. Using this information, what was the F-statistic of your analysis?
Only round final answer. Round to two decimal places.
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