Math 540
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Given the following data on the number of pints of icecream sold at a
local ice cream store for a 6-period time frame:
Compute a 3-period moving average for period 4. Use two placesafter the
decimal
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Daily highs in Sacramento for the past week (from least to mostrecent) were: 95, 102, 101, 96, 95, 90 and 92. Develop a forecastfor today using a weighted moving average, with weights of .6, .3and .1, where the highest weights are applied to the most recentdata.
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Consider the following annual sales data for 2001-2008.
Year Sales
2001 2
2002 4
2003 10
2004 8
2005 14
2006 18
2007 17
2008 20
Calculate the correlation coefficient . Use four significantdigits after the decimal.
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An investor is considering 4 different opportunities, A, B, C,or D. The payoff for each opportunity will depend on the economicconditions, represented in the payoff table below.
Economic Condition
Poor Average Good Excellent
Investment (S1) (S2) (S3) (S4)
A 50 75 20 30
B 80 15 40 50
C -100 300 -50 10
D 25 25 25 25
If the probabilities of each economic condition are 0.5, 0.1, 0.35,and 0.05 respectively, what is the highest expected payoff?
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Robert wants to know if there is a relation between money spenton gambling and winnings.
Money Spent | Money Won
12 | 62
10 | 50
16 | 94
18 | 106
15 | 74
10 | 56
What is the coefficient of determination?
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The following data summarizes the historical demand for aproduct.
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The following sales data are available for 2003-2008 :
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The following sales data are available for 2003-2008.
Year Demand
2003 7
2004 12
2005 14
2006 20
2007 16
2008 25
Determine a 4-year weighted moving average forecast for 2009, whereweights are W1 = 0.1,W2 = 0.2, W3 = 0.2 and W4 = 0.5.
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An inspector correctly identifies defective products 90% of thetime. For the next 10 products, the probability that he makes fewerthan 2 incorrect inspections is 0.736.
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A continuous random variable may assume only integer valueswithin a given interval.
True
False
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“Linear Programming Approach Please respond to the following:
Does the linear programming approach apply the same way in different applications? Explain why or why not using examples.
Linear Programming is a mathematical technique for choosing the best alternative form of a set of feasible alternatives. In situations where the objectives function as well as the restrictions or constraints can be expressed as linear mathematical functions. For example
THE DIET PROBLEM:
To find the cheapest combinations of foods that will satisfy all your nutritional requirements.
Example: Suppose the only foods available in your local store are potatoes and steak. The decision about how much of each food to buy is also made entirely on dietary and economic considerations. We have the nutritional and cost information in the following table: Per unit of potatoes Units of carbohydrates, Units of vitamins, Units of proteins, Unit cost per unit of steak Minimum requirements
The problem is to find a diet (a choice of the numbers of units of the two foods) that meets all minimum nutritional requirements at minimal cost.
a. Formulate the problem in terms of linear inequalities and an objective function.
b. Solve the problem geometrically.
We begin by setting the constraints for the problem. The first constraint represents the minimum requirement for carbohydrates, which are 8 units per some unknown amount of time. 3 units can be consumed per unit of potatoes and 1 unit can be consumed per unit of steak. The second constraint represents the minimum requirement for vitamins, which are 19 units. 4 units can be consumed per unit of potatoes and 3 units can be consumed per unit of steak. The third constraint represents the minimum requirement for proteins, which are 7 units. 1 unit can be consumed per unit of potatoes and 3 units can be consumed per unit of steak. The fourth and fifth constraints represent the fact that all feasible solutions must be nonnegative because we can’t buy negative quantities.
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Assignment #3: Case Problem “Julia’s Food Booth”
Complete the “Julia’s Food Booth” case problem on page 109 of the text. Address each of the issues A – D according the instructions given.
•(A) Formulate and solve an L.P. model for this case.
•(B) Evaluate the prospect of borrowing money before the first game.
•(C) Evaluate the prospect of paying a friend $100/game to assist.
•(D) Analyze the impact of uncertainties on the model.
Julia’s Food Booth
Julia Robertson is a senior at Tech and she’s investigating different ways to finance her final year at school.
Assignment #3: Case Problem “Julia’s Food Booth”
Complete the “Julia’s Food Booth” case problem on page 109 of the text. Address each of the issues A – D according the instructions given.
•(A) Formulate and solve an L.P. model for this case.
•(B) Evaluate the prospect of borrowing money before the first game.
•(C) Evaluate the prospect of paying a friend $100/game to assist.
•(D) Analyze the impact of uncertainties on the model.
Julia’s Food Booth
Julia Robertson is a senior at Tech and she’s investigating different ways to finance her final year at school. She is considering leasing a food booth outside the Tech stadium at home football games. Tech sells out every home game and Julia knows, from attending the games herself, that everyone eats a lot of food. She has to pay $1,000 per game for a booth, and the booths are not very large. Vendors can sell either food or drinks on Tech property, but not both. Only the Tech athletic department concession stands can sell both inside the stadium. She thinks slices of cheese pizza, hot dogs and barbecue sandwiches are the most popular food items among fans and so these are the items she would sell.
Most food items are sold during the hour before the game starts and during half time, thus it will not be possible for Julia to prepare the food while she is selling it. She must prepare the food ahead of times and then store it in a warming oven. For $600 she can lease a warming oven for the six-game home season. The oven has 16 shelves and each shelf is 3 feet by 4 feet. She plans to fill the oven with the three food items before the game and then again before half time.
Julia has negotiated with a local pizza delivering company to deliver 14 inch cheese pizzas twice each game 2 hours before the game and right after the opening kickoff. Each pizza will cost her $6 and will include 8 slices. She estimates it will cost her $0.45 for each hot dog and $0.90 for each barbecue sandwich if she makes the barbecue herself the…
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