1. The ages (in years) and weights (in pounds) of all wide receivers for a football team are listed. Find the coefficient of variation for each of the two data sets. Then compare the results. Weights:214 185 201 213 211 197 188 220Ages:25 28 23 26 29 26 26 27
2. Compare the results. What can you conclude?A. Ages are more variable than weights for all wide receivers on this team. B. Weights are more variable than ages for all wide receivers on this team. C. Ages and weights for all wide receivers on this team have about the same amount of variability.

1)

Weights: =0.06321578

Ages: =0.06980003

2)  A) Ages are more variable than weights for all wide receivers on this team

Step-by-step explanation:

The coefficient of variation is calculated as follows

where s is the sample standard deviation and x bar is the sample mean,

where

∑(xi-x bar)^2/(n-1)

xi=i observation, n is the sample size

and,  x bar = ∑(xi) / n

what is the starting amount? the question is not clear sorry.

step-by-step explanation:

see below

step-by-step explanation:

7.   there are 10 data points in the set.   the middle point is between 5 and 6.   the middle point in the top half is 8   and the middle point in the bottom half is 3. to find the iqr , take point 8 and subtract point 3

mid term   point 8 = 100   point 3 = 88

iqr = 100-88 = 12

final   point 8 = 93   point 3 = 78

iqr = 93 - 78 = 15

the final has the greatest iqr

6.   b - there is a high data value that causes the data set to be asymmetrical for the males: the data for males are high and asymmetrical .   there is an outlier for the males that skews the data

5.   the   iqr is a better measure of spread for the movies and basketball games.   since the basketball game has an outlier, we do not want to use standard deviation for measurement.  

3.   the exam median is much higher than the class median.   the median line is farther to the right on the exams

2.   there is no way to tell what the means are from the box and whisker plots.