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A manufacturer has a maximum of 240, 360, and 180 kilograms of wood, plastic and steel available. The company produces two products, A and B. Each unit of A requires 1, 3 and 2 kilograms of wood, plastic and steel respectively; each unit of B requires 3, 4 and 1 kilograms of wood, plastic and steel respectively, and each unit of B requires 3, 4 and 1 kilograms of wood, plastic and steel respectively. The profit per unit of A and B is $4.00 and $6.00 respectively.
a. Write out the objective profit function.
b. Write out the constraints this company faces.
c. List all corner points and determine which combination of items will produce the maximum profit.
List the elements of the sample space S using the letters G and D for good and defective respectively. What is the mean number of defective hard drives that the small business receives if all their shipments come in sets of five that contain the sa..
Do any of the selected samples seem to be out of the control limits? Describe.
A certain type of injury has tangible costs of $40,000 per occurrence and intangible costs of $150,000 per occurrence. Perform a cost/benefit analysis to weigh the benefits of the proposed safety glasses policy against its expected costs.
We are establishing a quality control program for a process and need to establish the mean and standard deviation for the process. The first 10 batches had samples of size 5 taken.
A final exam in Statistics has a mean of 73 with a standard deviation of 7.73. Assume that a random sample of 24 students is selected and the mean test score of the sample is computed. What percentage of sample means are less than 70?
The publisher reports that 80% of college professors require or recommend that their students purchase some type of textbook package.
Determine the upper and lower control limits for ?- (This Symbol Is Supposed to be an x not an a) and R-charts for the width of a chair seat when sample grand mean
Find the value of x that corresponds to each of these standard scores z = -1.85.
A researcher wishes to estimate with 99% confidence, the proportion of adults who have high-speed Internet access. Her estimate must be accurate within 2% of the true proportion.
What descriptive summary measures would you use to present the data. which measure is the best to use and which is the worse and why?
A random sample of n = 4 scores is selected from a population with µ = 80 and σ = 20. On average, how much difference would you expect between the sample mean and the population mean?
Suppose it is desired to estimate the population mean number of miles with a margin of error of ± 2 miles at 95% confidence. Do the data provide this desired level of precision? What action, if any, would you recommend be taken?
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