Mathematics, 04.09.2021 05:40 cacaface311
Three different methods for assembling a product were proposed by an industrial engineer. To investigate the number of units assembled correctly with each method, 30 employees were randomly selected and randomly assigned to the three proposed methods in such a way that each method was used by 10 workers. The number of units assembled correctly was recorded, and the analysis of variance procedure was applied to the resulting data set. The following results were obtained: SST = 10,800; SSTR = 4560.
Set up the ANOVA table for this problem (to 2 decimals, if necessary).
Source of Variation Sum of Squares Degrees of Freedom Mean Square F
Treatments 456 2 2280 9.87
Error 6240 27 231.11
Total 10800 29
Use {Exercise 13.07}
Three different methods for assem = .05 to test for any significant difference in the means for the three assembly methods.
Calculate the value of the test statistic (to 2 decimals).
9.87
The p-value is
less than .01
What is your conclusion?
Conclude not all means of the three assembly methods are equal
are my calculations correct?
Answers: 3
Mathematics, 21.06.2019 14:10
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Mathematics, 21.06.2019 20:30
Answer asap ill give ! ’ a sample of radioactive material decays over time. the number of grams, y , of the material remaining x days after the sample is discovered is given by the equation y = 10(0.5)^x. what does the number 10 represents in the equation? a. the half-life of the radioactive material, in days b. the amount of the sample, in grams, that decays each day c. the time, in days, it will take for the samples to decay completely d. the size of the sample, in grams, at the time the material was discovered
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Three different methods for assembling a product were proposed by an industrial engineer. To investi...
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