How do you use box plots to compare different sets of data? how do you choose between mean and median as the best measure for the center of a distribution? how do you choose between interquartile range and standard deviation as the best measure of the spread of a distribution? i just need an answer to these questions so if anyone can me i would really appreciate it!

Box plot is used to to describe the data through quartiles. It is a representation of the distribution of data based on five category of the observations or numbers in a set: minimum, first quartile, second quartile or median, third quartile and maximum.

Mean is commonly used measure for the center. However, it is affected by the extreme values, in other word by outliers. For that reason, it is recommended to use median, which is the value in the center of the data.

IQR (Interquartile Range) is more handy than standard deviation because it is not affected by outliers and it shows whether the data is skewed or not.

from the figure we get,

the x axis shows   the months and,

the y-axis shows the number of satisfied customer.

each line or each cell in upward direction (y-axis) shows 500.

the appropriate scale for the y - axis is: -

a = 2000 customers

b = 4000 customers

c = 6000 customers

d = 8000 customers

e = 10000 customers

f = 12000 customers

g = 14000 customers

answer: 94

step-by-step explanation: 79+91+92+94+94 = 450 divided by 5 (since there are 5 number that are being added) = 90