# 3 Questions

Right click and save the Red Tomato Demo to your hard drive.

Using the original data in the file, what happened to inventory and stockouts over the six periods of the planning horizon?

2. Right click and save the Red Tomato Demo for Example 1 to your hard drive.

What happened to stockouts as demand fluctuation increased? What happened to profits? What did you learn from this exercise?

3. Right click and save the Red Tomato Demo for Example 2 to your hard drive.

What happened to the use of subcontractors as holding costs increased? What happened to profits? What did you learn from this exercise?

Note: Use the “Solver” capability under the ”Tools” menu for the above three exercises.

*Note on using the “Solver” Add-In:The Solver Add-in is an Excel add-in program that is available when you install Microsoft Office or Excel. To use it in Excel, however, you need to load it first. You should have completed doing so in Module 3.

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# 3 Questions

I’m trying to learn for my Statistics class and I’m stuck. Can you help?

Question 1:

In an ANOVA, what are the degrees of freedom for the following output:

 ANOVA Source of Variation SS df MS F P-value F crit Between Groups 71.64921 2 35.8246 2.503716 0.115279 3.68232 Within Groups 214.6286 15 14.30857 Total 286.2778 17

Question 2:

In an independent samples design, the Dog’s mean was 54.0 and the Cat’s mean was 53.9. Larger scores are better. A t value of 2.50 was calculated and an α level of .05 adopted. Which conclusion is appropriate with a 2-tailed test?

 If df = 4, Cats are significantly better than Dogs If df = 9, Dogs are not significantly different from Cats If df = 5, Dogs are significantly better than Cats If df = 10, Dogs are significantly better than Cats

Question 3:

A department chair in an academic department wanted to know if there was a difference between spring and fall enrollment in his department. The department offered the same six courses both semesters. What test should he conduct to determine if there is a significant difference in the enrollment between the semesters? Write up the results and determine what do the results mean?

Here is the data set:

 Spring Fall 87 30 90 35 56 40 48 45 39 50 50 55