Arithmetic mean is appropriate for our data because there are no out liars in the data so simple mean tells us the accurate answer. Though we move further for checking out the spread in the data for which we calculate the Standard deviation, it provides us with the variation in the data. Further more we calculate the C. V.

for per unit deviation in the data. Estimations for estimate our Population parameters. Analyze the variations & run hypothesis.

Design Multiple Regression & Correlation when we have more then two Independent Variables.We concluded that the average production cost is 21. 1968 Rs. (Millions). Our data is normally distributed therefore arithmetic mean tells us the accurate answer. Measure of the unpredictability of a random variable, expressed as the average deviation of a set of data from its arithmetic mean and computed as the positive square root of the variance.

Standard deviation is the most appropriate tool yet to finding out the variation within the data and it covers the whole data as well. Here the S. D. of Cost of Production is 4.

718670999 Rs. (Millions).The coefficient of variation is used to measure the consistency of the data across all experiments. The coefficient of variation (CV) is calculated as standard deviation divided by mean. A high CV value reflects inconsistency among the data. Here we have the Value of C. V.

22. 3% for the Variable of cost of Production which shows that the spread involve when we moving from one unit to the other. We concluded that the average Advertising Expenses is 1. 608 Rs.

(Millions). Our data is normally distributed therefore arithmetic mean tells us the accurate answer.Measure of the unpredictability of a random variable, expressed as the average deviation of a set of data from its arithmetic mean and computed as the positive square root of the variance. Standard deviation is the most appropriate tool yet to finding out the variation within the data and it covers the whole data as well. Here the S. D.

of Advertising Expenses is 0. 249886631 Rs. (Millions). The coefficient of variation is used to measure the consistency of the data across all experiments. The coefficient of variation (CV) is calculated as standard deviation divided by mean.A high CV value reflects inconsistency among the data. Here we have the Value of C.

V. 15. 5% for the Variable of Advertising Expenses which shows that the spread involve when we moving from one unit to the other.

We concluded that the average Sales is 26. 688 Rs. (Millions). Our data is normally distributed therefore arithmetic mean tells us the accurate answer. The coefficient of variation is used to measure the consistency of the data across all experiments. The coefficient of variation (CV) is calculated as standard deviation divided by mean.A high CV value reflects inconsistency among the data. Here we have the Value of C.

V. 25. 1% for the Variable of Sales which shows that the spread involve when we moving from one unit to the other. Measure of the unpredictability of a random variable, expressed as the average deviation of a set of data from its arithmetic mean and computed as the positive square root of the variance. Standard deviation is the most appropriate tool yet to finding out the variation within the data and it covers the whole data as well.Here the S.

D. of Profit is 1. 338560421 Rs. (Millions).

It is the Deviation involve when we move from one unit to the other. The coefficient of variation is used to measure the consistency of the data across all experiments. The coefficient of variation (CV) is calculated as standard deviation divided by mean. A high CV value reflects inconsistency among the data. Here we have the Value of C. V. 25.

07% for the Variable of Profit which shows that the spread involve when we moving from one unit to the other.