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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 = 10,790; SSTR = 4580.
a. Set up the ANOVA table for this problem.
b. Use = .05 to test for any significant difference in the means for the three assembly methods.
Give the Z- score cutoff (or cutoffs) on the comparison distribution at which the null hypothesis should be rejected
If p denotes the p -value of the corresponding hypothesis test, which of the following is true?
The main part of the ACS contacts 250,000 addresses by mail each month, with follow-up by phone and in person if there is no response. Each household answers questions about their housing, economic, and social status. What is the Population.
Mattel Corporation produces a remote-controlled car that requires three AA batteries. The mean life of these batteries in this product is 35 hours with a standard deviation of 5.5 hours. As part of its testing program Sony tests samples of 16 batt..
Give all steps of a test of the hypothesis that the corresponding population proportions are equal.
The 2009 National Assessment of Educational Progress (NAEP) gave a mathematics test to a random sample of eighth-graders in Texas. The mean score was 287 out of 500. To give a confidence interval for the mean score of all Texas eighth-graders, you..
Recognize and describe potential threats (up to 3) to internal validity.
A battery manufacturing plant normally operates two eight-hour shifts per day and 6 days per week. The manufacturer can produce 375 units per hour.
Determine the dependent variable(s)? Determine the value of the statistic? Write down the name of one variable not mentioned in this study that one might wish to control for.
Tom Sevits is the owner of the Appliance Patch. Recently Tom observed a difference in the dollar value of sales between the men and women he employs as sales associates.
To forecast attendance at an yearly tennis tournament a model has been developed that uses attendance from the previous year and the amount spent for advertising this year.
If we wanted to shorten the interval of the estimation of the true mean of Saturday sales to a width of $600 in total, what should the size of our sample be to achieve it?
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