In: Statistics and Probability
A newspaper reports that the average expenditure on Valentine's Day is $100.89. Do male and female consumers differ in the amounts they spend? The average expenditure in a sample survey of 40 male consumers was $133.67, and the average expenditure in a sample survey of 30 female consumers was $69.64. Based on past surveys, the standard deviation for male consumers is assumed to be $45, and the standard deviation for female consumers is assumed to be $20. (a) What is the point estimate (in dollars) of the difference between the population mean expenditure for males and the population mean expenditure for females? (Use male − female.) $ (b) At 99% confidence, what is the margin of error (in dollars)? (Round your answer to the nearest cent.) $ (c) Develop a 99% confidence interval (in dollars) for the difference between the two population means. (Use male − female. Round your answer to the nearest cent.) $ to $
Male Consumers | Female Consumers | |
Sample Size | n1 = 40 | n2 = 30 |
Sample Mean | X̅1 = $133.67 | X̅2 =$69.64 |
Population Standard Deviation | σ1 = $45 | σ2 = $20 |
a) Point estimate in dollars of the difference between the
population mean expenditure for males
and the population mean expenditure for females is given
by
= 133.67 - 69.64
= 64.03
Point Estimate = $64.03
b) For 99% confidence interval, margin of error is given
by
For 99%, α = 0.01, α/2 =
0.005
From the z-tables, or Excel function
NORM.S.INV(α/2)
z' = NORM.S.INV(0.005) = 2.576 (We take the
positive value for calculations)
ME = 20.6013
Margin of Error =
$20.60
c) 99% Confidence interval is given by
= 64.03 ±
20.60
= ($ 43.43, $ 84.63)
99% confidence interval (in dollars) for the difference
between the two population means is ($ 43.43, $
84.63)