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The linear programming model for a transportation problem has constraints for supply at each source and demand at each destination.
Problem: Assume you are employed by a company that makes a type of simple chair. MRP is to be the method of inventory planning for the chair.
Problem 1. Regression analysis is a statistical procedure for developing a mathematical equation that describes how
1) Calculate L, Lq, W, Wq, and U 2) The dean of the college has received a number of complaints from students about the length of time they must wait to have their schedules approved.
The estimated times and immediate predecessors for the activities in a project at Caesar Douglas' retinal scanning company are given in the following table. Assume that the activity times are indepe
A major music club collected data on the reasons for returned shipments during a quarter. Results are: Wrong selection 50,000; refused 195,000; wrong aðdress 68,000; order cancelled 5,000; and o
In your answers, denote the proportion of all U.S. high school students who happen to use computers for educational purposes by p. Perform a one-tailed test.
Victor Anderson, the owner of Anderson Belts, Inc., is studying absenteeism among his employees. His workforce is small, consisting of only five employees. For the last three years he recorded the f
I want help writing the null and alternate hypothesis for this assignment; we are looking at moving a business to a home base operation. Below is what we have so far, from this information how would
1) Develop a linear regression model for these data and forecast carpet sales if 30 construction permits for new homes are filed.
Question: What happens to the customer waiting time if system utilization increases? A. decreases exponentially B. decreases proportionally C. increases proportionally D. increases exponentially
A sample of 120 observations revealed that p = 0.30. At the .05 significance level, can the null hypothesis be rejected? a. State the decision rule b. Compute the value of the test statistic. c. What
Answer the following questions: 1) Write down the decision variables. 2) Write down the optimization statement for the objective function.
Why is the population shape a concern when estimating a mean? What effect does sample size, n, have on the estimate of the mean?
Problem 1. What are the barriers to personal growth and development? Problem 2. Where would you look for the resources to support personal growth and development?
Explain the difference between the null hypothesis and the alternate hypothesis. How is the null hypothesis chosen (why is it null)?
What is a Type I error? Explain how the cumulative Type I error affects your decision making. How is the two independent sample t-test different from ANOVA?
If the daily demand is normally distributed (the mean and variance can be obtained from the table above), then what is the optimal daily order?
Problem: By using 8 hypothetical values of sample data, calculate the mean and median. How does the mean differ from the median?
What is the median number of days the ATM was used each day? ______ What is the standard deviation for the sample data (round to the nearest whole number)? _______
The sample coefficient of correlation A. Has the same sign as the slope, i.e. b. B. Can range from -1.00 up to 1.00 C. Is also called Pearson's r. D. All of the above.
Part A: Define (a) parameter, (b) estimator, (c) sampling error, and (d) sampling distribution. Part B: State the main points of Central Limit Theorem for a mean and explain.
The British Bankers’ Association decided to look at a variable to predict amounts of deposits. It chose the number of branches for each bank. The data are:
State Null and Alternate Hypothesis: 1) Is this one-tailed or two-tailed Test? 2) Compute the Test statistic.
The annual inventory carrying cost is $0.65 per unit. To provide a 98 percent service probability, what must the reorder point be?