Math 280 – Introduction to Probability and Statistics

Module 10 Application Assignment (16 Points)

The points on this assignment total up to 45 points. Your percent score from this assignment will be multiplied by 16 to find your actual assignment grade (out of 16) for the gradebook.

PART I. PRICE ELASTICITY

You are a financial manager for an IT company specializing in uninterruptible power supplies (UPS) and other battery / remote power solutions. Your area Vice President gives you the historical sales data below and asks you to provide a sales forecast for the next four weeks for your company’s best-selling UPS: the Convergys 2.0. [The data set is provided as an Excel file on the assignment page]

   Convergys 2.0 
Fiscal Week #Price ($)Units Sold 
1367106 
2200196 
3372125 
4376115 
552169 
648098 
7319178 
8371122 
960054 
10289155 
1156965 
12321124 
13249154 
14435126 
15247186 
16317146 
1757362 
862443 
19437121 
2044288 
   Convergys 2.0
Fiscal Week #Price ($)Units Sold
21446115
22360109
23274127
2454365
25331146
26318174
2752885
2848188
29379153
30485100
31258176
32268151
33416129
3457156
35371124
3660051
37450 
38500 
39525 
40475 
  1. (4 points) Create a scatterplot for Convergys 2.0, showing the relationship between price and units sold. Be sure the independent and dependent variables are on the correct axes, and that your graph looks professional and is labeled and titled appropriately. Paste your scatterplot below (you may use either MS Excel or Jamovi).
  • (6 points) Perform a linear regression on Convergys 2.0’s units sold based on price. Below, write the formula for units sold in terms of price, and provide the coefficient of determination and the coefficient of correlation (make sure you label these and use the right symbols!).
  • (4 points) Use your answers from previous questions to predict the number of Convergys 2.0 units that will be sold in weeks 37 through 40 (fill the values in to the table above on page one).
  • (3 points) If the price of the Convergys 2.0 increased by $100 from one week to the next, how would you expect the number of units sold to change? Show your work.

  • (6 points) Calculate the residuals for Convergys 2.0’s units sold for weeks 1-36 (round all answers to the nearest unit). Fill-in the residual frequency table below and also include a histogram of this data. Based on this new information, do you still agree that linear regression was a good choice for this analysis? Why? (Hint: how would you describe the shape of this distribution?)

PART II. DATA CENTER REDESIGN

You are a data center manager and have been asked by your boss to redesign a telecommunications room in one of your smaller facilities. One element of this redesign you would like to optimize is the rack structure – your goal is to provide the greatest amount of equipment storage (by weight) within the cost constraints of the project. There are two types of storage racks you can choose from. Rack A costs $400 per unit, requires three square feet of floor space, and can support up to 80 pounds of equipment. Rack B costs $800 per unit, requires four square feet of floor space, and can support up to 120 pounds of equipment. Your budget for this aspect of the project is $5600, though of course you don’t have to spend all of it. Additionally, you can allocate at most 36 square feet of floor space to the racks in this room. How many of each type of rack should you buy in order to maximize the amount of equipment that could be supported?

1.    (2 points) What are your variables for this project? Assign each a letter and describe them in words.

2.    (2 points) What is the objective function you are being asked to maximize? Assign it a variable, define it in words, and provide an equation for it using the variables you defined above.

3.    (6 points)There are four constraints for this problem (hint: one is for the cost of the racks, one is for floor space, and two other ‘natural’ constraints).  Write these four constraints in equation form

4.    (5 points)Using MS Word, MS Excel, Jamovi or a web-based graphing tool like www.fooplot.com, create a graph of these constraints. Your graph should include the equations of the constraints and indicate which area is the feasible region of possible solutions.

5.    (4 points) Based on your graph, how many points are possible solutions? Give the coordinates of each of these points and evaluate the objective function at each point.

6.    (3 points) Now we can answer our original problem: how many of each type of rack should you buy to maximize the amount of equipment that this room can support? Also, indicate how much of your original budget you will spend and the amount of floor space these racks will take up in total.