11. Calculate descriptive statistics

Mean: 2

Median: 2 sum of squared deviations: 56

Variance: 2.8 standard deviation: 1.67332

12. Calculate descriptive statistics

Mean: 1,112 the mean is 56.5; 1,1245 the mean is 123; 1,1361 the mean is 181; 1,1372 the mean is 186.5; 1,1472 the mean is 236.5

Median: 1,112 the median is 56.5; 1,1245 the median is 123; 1,1361 the median is 181; 1,372 the median is 186.5; 1,1472 the median is 236.5 sum of squared deviations: 1,112 is 6160.5; 1,1245 is 29768; 1,361 is 64800; 1,372 is 68820.5; 1,472 is 110920.5

Variance: 1,112 is 6160.5; 1,1245 is 29768; 1,361 is 64800; 1,372 is 68820.5; 1,472 is 110920.5 standard deviation: 1,112 is 78.48885; 1,245 is 172.5341; 1,361 is 254.5584; 1,372 is 262.3366; 1,472 is 333.0473

13. Calculate descriptive statistics

Mean: 3.166667

Median: 3.25 sum of squared deviations: .533333

Variance: .106667 standard deviation: .326599

16. Calculate, explain, and speculate about the descriptive statistics

a. Figure the mean and standard deviation for the governors and for the CEOs.

Governors

44

36

52

40

43 mean

6.831300511 standard deviation CEOs

32

60

48

36

44 mean

12.64911064 standard deviation

b. Explain what you have done to a person who has never had a course in statistics.

In order to calculate the mean or average for the governors and CEO’s, I added together all the figures and divided that sum by 4 since there are 4 numbers. Calculate the standard deviation by getting the average of the average (mean) of the numbers. So the average of 43 for the governors is 6.831300511 and the average for the CEO’s is 12.64911064

c. Note the ways in which the means and standard deviations differ, and speculate on the possible meaning of these differences, presuming that they are representative of U.S. governors and large corporations’ CEOs in general. From these results, it appears that CEO’s have larger desks than