In order to estimate the statistical difference between the average hourly wages of employees of two branches of a department store, two independent random samples were selected and the following statistics were calculated. Downtown Store North Mall Store Sample size 25 20 Sample mean $9 $8 Sample standard deviation $2 $1 A 95% interval estimate for the difference between the two population means is . Group of answer choices

0.076 ; 1.924

Step-by-step explanation:

Given that :

Downtown Store ___ North Mall Store

n 25 20

Mean (m) _ $9 $8

Sample sd_ $2 $1

Standard Error (SE) = √[(s1²/n1) + (s2²/n2)]

√((2^2/25) + (1^2/20)) = 0.4582575

df = (25 + 20) - 2= 43

(m2 - m1) ± t(df = 43 , 0.025) * SE

(9 - 8) ± 2.01669 * 0.4583

(1 - 0.9242) ; (1 + 0.9242)

0.076 ; 1.924

i think the answer is .36

step-by-step explanation:

what i did was only 2.88 divided by 8

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