When faced with potential outliers, statisticians suggest: a) Run the analysis with and without the outliers and compare the results. b) Remove the outliers and move forward with analysis. c) Assume the data are accurate and move forward with analysis. d) Find a new dataset with no outliers.

a

Step-by-step explanation:

When faced with potential outliers, statisticians sugges to run the analysis with and without the outliers and compare the results. Your finding would be more trustworthy and valueable.

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

it is true

step-by-step explanation:

all the combinations add up i used   calculator