Determine with of the columns of has the best control

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Reference no: EM131839049

Need help expert on this problem if you can solve please need that answer clear also in excel file.

Race Performance Company

Month Qty Costs(000) Sales(000)

Jan 15000 1250 2340

Feb 16400 1620 1952

Mar 13625 1467 1675

Apr 13020 1585 2102

May 17025 1652 2054

Jun 11250 1340 1875

Jul 12345 1236 1457

Aug 18024 1784 1640

Sep 14695 1565 1987

Oct 16874 1675 2014

Nov 19785 1895 2650

Dec 20102 1874 2540

With the above information, you should be able to develop the following functions:

1. Format Costs and Sales columns in $ with two decimal points.

2. Format Qty with regular numbers with no decimal points.

3. Centralize all the Titles

4. Divide the Costs by the Qty to develop a column of Cost per Unit, Use $ and two decimal points.

5. Develop a fifth column for "Profit" by subtracting sales minus costs. Use $ and two decimal points.

6. Leaving two cells down and use the function Sum to obtain the total per column.

7. Two cells below column Month, use the function Count to know the number of months.

8. By using the Max and Min, determine the months with higher profits and the lowest cost per unit.

9. By using the Average function determine the mean for the all the numerical columns.

10. Using Chart wizard develop the following charts;

a. Column chart for the month and cost, a bar chart for Month vs. Sales, a line chart for the month vs cost/unit vs total profit. Use a scatter chart between the cost/unit and profits.

11. Develop another column for Profit/unit

12. Below the Average, develop the median and standard deviation (STDEV)functions for each numerical columns.

13. Divide the STDEV by the Average to determine with of the columns of has the best control. (Use an Statistical Book and look for Variation Coefficient)

14. Develop another column where by using an IF function determine which of the months are under the average in cost/unit. For those under the average post "RED" and for those over the average post "GREEN".

Reference no: EM131839049

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