In order to estimate the difference between the average yearly incomes of marketing managers in the East and West of the United States, the following information was gathered. East West n1 = 40 n2 = 45 = 72 (in $1000) = 78 (in $1000) s1 = 6 (in $1000) s2 = 8 (in $1000) a. Develop an interval estimate for the difference between the average yearly incomes of the marketing managers in the East and West. Use 98% confidence. b. At α = .02, use the p-value approach and test to determine if the average yearly income of marketing managers in the East is significantly different from those in the West.
In order to estimate the difference between the average yearly incomes of marketing managers in the East and West of the United States, the following information was gathered. East West n1 = 40 n2 = 45 = 72 (in $1000) = 78 (in $1000) s1 = 6 (in $1000) s2 = 8 (in $1000) a. Develop an interval estimate for the difference between the average yearly incomes of the marketing managers in the East and West. Use 98% confidence. b. At α = .02, use the p-value approach and test to determine if the average yearly income of marketing managers in the East is significantly different from those in the West.
MATLAB: An Introduction with Applications
6th Edition
ISBN:9781119256830
Author:Amos Gilat
Publisher:Amos Gilat
Chapter1: Starting With Matlab
Section: Chapter Questions
Problem 1P
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In order to estimate the difference between the average yearly incomes of marketing managers in the East and West of the United States, the following information was gathered.
|
East |
West |
|
n1 = 40 |
n2 = 45 |
|
= 72 (in $1000) |
= 78 (in $1000) |
|
s1 = 6 (in $1000) |
s2 = 8 (in $1000) |
|
a. |
Develop an |
|
b. |
At α = .02, use the p-value approach and test to determine if the average yearly income of marketing managers in the East is significantly different from those in the West.
|
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