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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.
In a study designed to determine patientâ??s acceptance of a new pain reliever, 100 physicians each selected a sample of 25 patients to participate in the study.
Suppose a product must go through a sequential assembly line made up of ?ve operations. The time it takes to complete each operation is normally distributed with a mean of 180 seconds and standard deviation of 5 seconds.
Find the percent of a standard Normal model found in the given region. Round to the nearest hundredth of a percent.
The value of the z score in a hypothesis test is influenced by a variety of factors. Assuming that all other variables are held constant explain how the value of z is influenced by each of the following: (a) increasing the difference b/w the sampl..
Write a brief summary of the distribution of life expectancy.
Work through a simple regression calculation using intrinsic job satisfaction nd extrinsic job satisfaction. Select thirty data points to use for each group.
Can we conclude that the mean time for a game is less than 3.50 hours? Use the .05 significance level.
A real estate company wants to study the relationship between house sales prices and some important predictors of sales prices. Based on data from recently sold homes in the area, the variables
Say, for example, the correlation is 0.75 between Height (measured in inches) and Weight (measured in pounds). If Height were changed to being measured in centimeters (where 1 inch = 2.54 centimeters) what effect would this have on the correlation..
The times for 300 college students of introductory statistics to complete a one-hour times exam.
Do the data in the sample represented in the Excel file support his contention at the .05 level of significance?
A clothing retailer wishes to investigate the relationship between order size (in dollars) and the level of satisfaction of the customer.
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