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1. The healthcare environment would be advised to use the MAD, MSE, and the MAPE as measures of forecasting accuracy. Describe how these techniques could aid managers in the projections of cost and assist in inventory control.
2. Summarize the factors involved with seasonal variations. Provide examples.
3. An essential part of cost control in any healthcare organization is staffing levels, maintaining the right mix of professional individuals at any given time. Inventory and production control models are designed for static environments. Would such models work in healthcare to adjust for staffing needs? Explain your rationale.
4. Our basis EOQ inventory model makes five assumptions. For each of these assumptions, explain the assumption, give an example of when the assumption is false, and describe what options are available when the assumption is false.
A confidence interval increases in width as:
A new group comes along and that only has 5 people. Their weights are also measured initially and after 9 weeks. What would be the most accurate methodology for determining the percentage of weight loss for this new group?
What are the assumptions of regression analysis and how do you evaluate them?
a factorial experiment involving 2 levels of factor a and 2 levels of factor b resulted in the following.factor blevel
when circuit boards used in the manufacture of compact disc players are tested the long-run percentage of defectives is
We want to test the hypothesis that the population variances are equal.
Suppose you want to test the claim the the paired sample data given below come from a population for which the mean difference is ud=0. The mean value of the differences for the paired sample data.
In an effort to control costs associated inventory management, a study was conducted on the relationship between sales (X, in billions of US dollars) and inventory levels (Y, in billions of US dollars), with a random sample of size 20. You are ass..
A population is normally distributed with mean 42.7 and standard deviation 4.7. Find the following probability.
You estimate that the probability of getting both jobs is only 0.1. What is the probability that you get exactly one of the jobs?
A study shows that employees that begin their work day at 9:00 a.m. vary their times of arrival uniformly from 8:40 a.m. to 9:30 a.m. The probability that a randomly chosen employee reports to work between 9:00 and 9:10 is?
1 suppose the problem statement is as follows. roll two 6 sided dice and add the numbers on the faces. what is the
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