We say that a point estimator is unbiased if (choose one): its sampling distribution is centered exactly at the parameter it estimates. the standard deviation of its sampling distribution decreases as the sample size increases. its sampling distribution is normal. its value is always equal to the parameter it estimates. choices (a), (b), and (c) are all true.

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

option a is correct.

step-by-step explanation:

scale factor: it is used to find proportional measurements.

proportions means having the same ratio.

scale factor is the ratio of the model measurement to the actual measurement in a simplest form.

or we can say that the ratio of any two corresponding lengths in two similar geometric figures

if the scale factor is more than 1, then it is an enlargement,

if the scale factor less than 1, then it is a reduction.

given the two geometric figure:

by definition of proportions, we have

if the probability is 1/12, 75 people will receive a $25 gift card

step-by-step explanation: