Can any one help me with this?

ThermoStar has been producing residential thermostats for over 50 years.

Looking over the past 20 quarters (5 years) of the different product lines, the general manager has been trying to get a handle on sales, costs, and production, and has asked for your help.

Answer the following using Excel and refer to your datasheet.

1. Calculate the descriptive statistics (summary statistics) for total sales (in K units), and report the mean, median, and standard deviation.

2. Using the unit data by product line, compile a breakdown of sales by product. Also, show the expected sales by product for 100,000 total units.

3. ThermoStar tests thermostats so they are calibrated with a mean of 70 degrees, with an associated standard deviation of 2 degrees. Given this mean and standard deviation what percentage of thermostats will test below the inspector痴 cutoff value and thus need to be recalibrated? (See the data sheet for the cutoff and assume that the test results are normally distributed.)

4. A sample of 40 employees showed the average time spent in training per year to be 40 hours, with the associated standard deviation as noted in the datasheet. Construct a 95 percent confidence interval for the training program.

5. Do a simple regression for the total costs. Report the regression equation, as well as the R2 and t-statistic. Is this model suitable for business decision making? Explain why. (Hint: copy and paste special, transpose the data into columns, then run the regression tool.)

Sales and Cost Data

Quarter 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 Total

Product Line (K Units)

Alpha 5 5 8 10 11 11 12 11 12 9 12 11 11 11 13 12 13 14 15 12 218

Beta 11 14 3 12 12 12 8 10 12 11 11 9 9 8 9 9 13 9 10 11 203

Gamma 4 8 7 4 4 6 9 3 5 6 8 3 8 9 3 3 4 5 5 3 107

Total Sales (K Units) 20 27 18 26 27 29 29 24 29 26 31 23 28 28 25 24 30 28 30 26 528

Total Sales $M 2.00 2.70 1.80 2.60 2.70 2.90 2.90 2.40 2.90 2.60 3.10 2.30 2.80 2.80 2.50 2.40 3.00 2.80 3.00 2.60 52.8

Total Costs $M 1.00 1.35 0.90 1.30 1.35 1.45 1.45 1.20 1.45 1.30 1.55 1.15 1.40 1.40 1.13 1.08 1.35 1.26 1.35 1.17 25.585

Quality Data

Mean 70

Standard Deviation 2

Cuttoff 65

Training Data

Mean Hours 40

Standard Deviation 5

Employees in Sample 40

ThermoStar has been producing residential thermostats for over 50 years.

Looking over the past 20 quarters (5 years) of the different product lines, the general manager has been trying to get a handle on sales, costs, and production, and has asked for your help.

Answer the following using Excel and refer to your datasheet.

1. Calculate the descriptive statistics (summary statistics) for total sales (in K units), and report the mean, median, and standard deviation.

2. Using the unit data by product line, compile a breakdown of sales by product. Also, show the expected sales by product for 100,000 total units.

3. ThermoStar tests thermostats so they are calibrated with a mean of 70 degrees, with an associated standard deviation of 2 degrees. Given this mean and standard deviation what percentage of thermostats will test below the inspector痴 cutoff value and thus need to be recalibrated? (See the data sheet for the cutoff and assume that the test results are normally distributed.)

4. A sample of 40 employees showed the average time spent in training per year to be 40 hours, with the associated standard deviation as noted in the datasheet. Construct a 95 percent confidence interval for the training program.

5. Do a simple regression for the total costs. Report the regression equation, as well as the R2 and t-statistic. Is this model suitable for business decision making? Explain why. (Hint: copy and paste special, transpose the data into columns, then run the regression tool.)

Sales and Cost Data

Quarter 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 Total

Product Line (K Units)

Alpha 5 5 8 10 11 11 12 11 12 9 12 11 11 11 13 12 13 14 15 12 218

Beta 11 14 3 12 12 12 8 10 12 11 11 9 9 8 9 9 13 9 10 11 203

Gamma 4 8 7 4 4 6 9 3 5 6 8 3 8 9 3 3 4 5 5 3 107

Total Sales (K Units) 20 27 18 26 27 29 29 24 29 26 31 23 28 28 25 24 30 28 30 26 528

Total Sales $M 2.00 2.70 1.80 2.60 2.70 2.90 2.90 2.40 2.90 2.60 3.10 2.30 2.80 2.80 2.50 2.40 3.00 2.80 3.00 2.60 52.8

Total Costs $M 1.00 1.35 0.90 1.30 1.35 1.45 1.45 1.20 1.45 1.30 1.55 1.15 1.40 1.40 1.13 1.08 1.35 1.26 1.35 1.17 25.585

Quality Data

Mean 70

Standard Deviation 2

Cuttoff 65

Training Data

Mean Hours 40

Standard Deviation 5

Employees in Sample 40

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