Questions
A random sample of six cars from a particular model year had the following fuel consumption...

A random sample of six cars from a particular model year had the following fuel consumption figures (in miles per gallon). Find the 98% confidence interval for the true mean fuel consumption for cars of this model year.

Sample Data

18.6

19.3

19.4

19.8

19.6

19.7

What is the left and right endpoint? Please help

In: Statistics and Probability

1.The notion of sustainability is used differently in economics than in the natural sciences. Explain the...

1.The notion of sustainability is used differently in economics than in the natural sciences. Explain the meaning of sustainability in these two frameworks, and discuss the attempts that have been made by economists to make the concept operational.

2. Would the extension of territorial limits for fishing beyond 200 miles from coastlines offer the prospect of significant improvements in the efficiency of commercial fishing

In: Economics

1.The notion of sustainability is used differently in economics than in the natural sciences. Explain the...

1.The notion of sustainability is used differently in economics than in the natural sciences. Explain the meaning of sustainability in these two frameworks, and discuss the attempts that have been made by economists to make the concept operational.

2. Would the extension of territorial limits for fishing beyond 200 miles from coastlines offer the prospect of significant improvements in the efficiency of commercial fishing

In: Economics

The cost per seat-mile on a major U.S. airline is 24.1 cents. In order to estimate...

The cost per seat-mile on a major U.S. airline is 24.1 cents. In order to estimate the cost of flying a passenger from Pensacola, FL, to Denver, CO, we should multiply 1,184 miles by 24.1 cents.

Do you agree or disagree? Explain your reasoning.

What would you suggest to estimate the cost of a flight?

In: Accounting

The Problem involves building a 12 – foot diameter sewer at a bottom depth of 40...

The Problem involves building a 12 – foot diameter sewer at a bottom depth of 40 feet in loose sand with a water table at a depth of 8 feet. The alignment is along city streets. The project needs to be completed in 800 days. Determine the amount and types of equipment you feel should be used on this project. The sewer is ten miles in length.

In: Civil Engineering

Using R Studio/R programming... A consumer-reports group is testing whether a gasoline additive changes a car's...

Using R Studio/R programming...

A consumer-reports group is testing whether a gasoline additive changes a car's gas mileage. A test of seven cars finds an average improvement of 0.4 miles per gallon with a standard deviation of 3.57. Is the difference significantly greater than 0? Assume that the values are normally distributed.

What would the code be?

In: Statistics and Probability

uide to marks: 20 marks – 12 for a, 2 for b, 6 for c Tully...

uide to marks: 20 marks – 12 for a, 2 for b, 6 for c

Tully Tyres sells cheap imported tyres. The manager believes its profits are in decline. You have just been hired as an analyst by the manager of Tully Tyres to investigate the expected profit over the next 12 months based on current data.

•Monthly demand varies from 100 to 200 tyres – probabilities shown in the partial section of the spreadsheet below, but you have to insert formulas to ge the cumulative probability distribution which can be used in Excel with the VLOOKUP command.
•The average selling price per tyre follows a discrete uniform distribution ranging from $160 to $180 each. This means that it can take on equally likely integer values between $160 and $180 – more on this below.
•The average profit margin per tyre after covering variable costs follows a continuous uniform distribution between 20% and 30% of the selling price.
•Fixed costs per month are $2000.

(a)Using Excel set up a model to simulate the next 12 months to determine the expected average monthly profit for the year. You need to have loaded the Analysis Toolpak Add-In to your version of Excel. You must keep the data separate from the model. The model should show only formulas, no numbers whatsoever except for the month number.

You can use this partial template to guide you:

Ajax Tyres
DATA
Prob Cummulative prob Demand Selling Price $160 $180
0.05 100 Monthly Fixed cost $2,000
0.10 120 Profit Margin 20% 30%
0.20 140
0.30 160
0.25 180
0.10 200
1.00
MODEL
Selling Profit Fixed
Month RN1 Demand Price RN2 Margin Costs Profit
1 0.23297 #N/A $180 0.227625 0.2

The first random number (RN 1) is to simulate monthly demands for tyres.
•The average selling price follows a discrete uniform distribution and can be determined by the function =RANDBETWEEN(160,180) in this case. But of course you will not enter (160,180) but the data cell references where they are recorded.
•The second random number (RN 2) is used to help simulate the profit margin.
•The average profit margin follows a continuous uniform distribution ranging between 20% and 30% and can be determined by the formula =0.2+(0.3-0.2)*the second random number (RN 2). Again you do not enter 0.2 and 0.3 but the data cell references where they are located. Note that if the random number is high, say 1, then 0.3-0.2 becomes 1 and when added to 0.2 it becomes 0.3. If the random number is low, say 0, then 0.3-0.2 becomes zero and the profit margin becomes 0.2.
•Add the 12 monthly profit figures and then find the average monthly profit.

Show the data and the model in two printouts: (1) the results, and (2) the formulas. Both printouts must show the grid (ie., row and column numbers) and be copied from Excel and pasted into Word. See Spreadsheet Advice in Interact Resources for guidance.

(b)Provide the average monthly profit to Ajax Tyres over the 12-month period.

(c)You present your findings to the manager of Ajax Tyres. He thinks that with market forces he can increase the average selling price by $40 (ie from $200 to $220) without losing sales. However he does suggest that the profit margin would then increase from 22% to 32%.

He has suggested that you examine the effect of these changes and report the results to him. Change the data accordingly in your model to make the changes and paste the output in your Word answer then write a report to the manager explaining your conclusions with respect to his suggestions. Also mention any reservations you might have about the change in selling prices.

The report must be dated, addressed to the Manager and signed off by you.
(Word limit: No more than 150 words)

In: Statistics and Probability

Tully Tyres sells cheap imported tyres. The manager believes its profits are in decline. You have...

Tully Tyres sells cheap imported tyres. The manager believes its profits are in decline. You have just been hired as an analyst by the manager of Tully Tyres to investigate the expected profit over the next 12 months based on current data.

•Monthly demand varies from 100 to 200 tyres – probabilities shown in the partial section of the spreadsheet below, but you have to insert formulas to ge the cumulative probability distribution which can be used in Excel with the VLOOKUP command.
•The average selling price per tyre follows a discrete uniform distribution ranging from $160 to $180 each. This means that it can take on equally likely integer values between $160 and $180 – more on this below.
•The average profit margin per tyre after covering variable costs follows a continuous uniform distribution between 20% and 30% of the selling price.
•Fixed costs per month are $2000.

(a)Using Excel set up a model to simulate the next 12 months to determine the expected average monthly profit for the year. You need to have loaded the Analysis Toolpak Add-In to your version of Excel. You must keep the data separate from the model. The model should show only formulas, no numbers whatsoever except for the month number.

Tully Tyres
Data
Probability Cumulative Prob Demand Selling price $160 $180
0.05 100 Monthly fixed cost $2000
0.10 120 Profit margin 20% 30%
0.20 140
0.30 160
0.25 180
0.10 200
1
Model
Month RN1 Demand Selling price RN2 Profit margin Fixed cost Profit
1 0.23297 #N/A $180 0.227625 0.2

The first random number (RN 1) is to simulate monthly demands for tyres.
•The average selling price follows a discrete uniform distribution and can be determined by the function =RANDBETWEEN(160,180) in this case. But of course you will not enter (160,180) but the data cell references where they are recorded.
•The second random number (RN 2) is used to help simulate the profit margin.
•The average profit margin follows a continuous uniform distribution ranging between 20% and 30% and can be determined by the formula =0.2+(0.3-0.2)*the second random number (RN 2). Again you do not enter 0.2 and 0.3 but the data cell references where they are located. Note that if the random number is high, say 1, then 0.3-0.2 becomes 1 and when added to 0.2 it becomes 0.3. If the random number is low, say 0, then 0.3-0.2 becomes zero and the profit margin becomes 0.2.
•Add the 12 monthly profit figures and then find the average monthly profit.

Show the data and the model in two printouts: (1) the results, and (2) the formulas. Both printouts must show the grid (ie., row and column numbers) and be copied from Excel and pasted into Word. See Spreadsheet Advice in Interact Resources for guidance.

(b)Provide the average monthly profit to Ajax Tyres over the 12-month period.

(c)You present your findings to the manager of Ajax Tyres. He thinks that with market forces he can increase the average selling price by $40 (ie from $200 to $220) without losing sales. However he does suggest that the profit margin would then increase from 22% to 32%.

He has suggested that you examine the effect of these changes and report the results to him. Change the data accordingly in your model to make the changes and paste the output in your Word answer then write a report to the manager explaining your conclusions with respect to his suggestions. Also mention any reservations you might have about the change in selling prices.

The report must be dated, addressed to the Manager and signed off by you.
(Word limit: No more than 150 words)

In: Math

The Carbondale Hospital is considering the purchase of ambulance. The TheXarbondale Hospital is considering the purchase...

The Carbondale Hospital is considering the purchase of ambulance. The TheXarbondale Hospital is considering the purchase of ambulance. The decision will rest partly on the anticipated mileage" be driven next year. The miles driven during the past 5
years are as follows:

Year

Mileage

1

3000

2

4000

3

3400

4

3800

5

3700

a) Forecast the mileage for next year using a 2-year moving average.
b) Find the MAD based on the 2-year moving average forecast in part (a), (Hint: You will have only 3 years of matched data.)
c) Use a weighted 2-year moving average with weights of .4 and .6 to forecast next year's mileage. (The weight of .6 is for the most recent year.) What MAD results from using this approach to forecasting? (Hint: You will have only 3 years of matched data.)
d) Compute the forecast for year 6 using exponential smoothing, an initial forecast for year 1 of 3,000 miles, and a = .5.

 

*****PLEASE SHOW WORK

In: Other

Buffalo Boston 26 23 27 14 39 11 23 19 17 19 16 4 21 9...

Buffalo Boston
26 23
27 14
39 11
23 19
17 19
16 4
21 9
31 12
1 12
23 7
32 32
32 26
24 21
42 16
38 16
29 18
16 16
12 20
29 20
16 11
18 10
27 18
2 11
21 17
35 20
21 20
29 25
24 16
17 17
21 8
38
21
9
24
31
26
16
27
24
18
24
17
13
15
21
21
21
32
27
35

Round your answers to one decimal place.

  1. What is the point estimate of the difference between the mean number of miles that Buffalo residents travel per day and the mean number of miles that Boston residents travel per day?

  2. What is the 95% confidence interval for the difference between the two population means?

In: Statistics and Probability