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A company produces two products that are processed on two assembly lines. Assembly line 1 has 100 available hours, and assembly line 2 has 42 available hours. Each product requires 10 hours of processing time on line 1, while on line 2 product 1 requires 7 hours and product 2 requires 3 hours. The profit for product 1 is $6 per unit, and the profit for product 2 is $4 per unit.
Solve this model by using graphical analysis.
What is the value of the population mean? What is the best estimate of this value?
Determine and report the within-group slope which relates Y to Xc (for this, you will have to look at your regression printout).
Find the probability that at least one subject experiences headaches. Is it unusual to have at least one of six subjects experience headaches?
Compute the 95% confidence interval around the mean of each of the three groups and plot the confidence interval in the space provided above.
Explain a Type I error for this situation. Explain a Type II error for this situation.
An experiment was carried out to assess the effects of four tomato varieties and four planting densities on yield. There were 64 plots, and each of the 16 factor combinations was randomly assigned to 4 plots. A partial ANOVA table
Die with 4 sides {1, 2, 3, 4} is tossed 2 times. Let X equal maximum of two observations and let Y equal minimum. Determine joint pmf of X and Y, and correlation coefficient. Are X and Y independent?
Determine the variance of firm's profit for the month.
The null hypothesis is to be tested at the 10% level of significance. The critical value from the table is:
As it is a 2 _ 2 table, try also two-tailed two-sample z test for ð1 = ð2 and verify that z2 is same as your chi-square statistic. Which test do you favour? Describe why?
At the 5% significance level, if the sample proportion is .45, and the standard error of the sample proportion is .035, the appropriate conclusion would be:
What is the probability that a student who has failed the test came from the South District?
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