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Jump to level1 A sales manager for a large department store believes that customer spending per visit with a sale is higher than customer spending without a sale, and would like to test that claim. A simple random sample of customer spending is taken from without a sale and with a sale. The results are shown below. Without sale With sale 74.894 Mean 78.138 Variance 1951.47 18S2.0102 Observations 200 300 Hypothesized Mean Difference df 419 t Stat 0.813 P(T<=t) one-tail t Critical one-tail 0.208 1.648 P(T<=t) two-tail t Critical two-tail 0.417 1.966 Confidence Level 95% -2 -1 3. p = 0.208 Samples from without sale: n1 = Ex: 9 t = 0.813 Samples from with sale: n2 = Point estimate for spending without sale: I = Ex: 1.234 Point estimate for spending with sale: 2

Jump to level1 A sales manager for a large department store believes that customer spending per visit with a sale is higher than customer spending without a sale, and would like to test that claim. A simple random sample of customer spending is taken from without a sale and with a sale. The results are shown below. Without sale With sale 74.894 Mean 78.138 Variance 1951.47 18S2.0102 Observations 200 300 Hypothesized Mean Difference df 419 t Stat 0.813 P(T<=t) one-tail t Critical one-tail 0.208 1.648 P(T<=t) two-tail t Critical two-tail 0.417 1.966 Confidence Level 95% -2 -1 3. p = 0.208 Samples from without sale: n1 = Ex: 9 t = 0.813 Samples from with sale: n2 = Point estimate for spending without sale: I = Ex: 1.234 Point estimate for spending with sale: 2

MATLAB: An Introduction with Applications
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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308.2364912.qx3zqy7 Jump to level 1 A sales manager for a large department store believes that customer spending per visit with a sale is higher than customer spending without a sale, and would like to test that claim. A simple random sample of customer spending is taken from without a sale and with a sale. The results are shown below. Without sale With sale Mean 78.138 Variance 1951.47 1852.0102 Observations 200 300 Hypothesized Mean Difference 0. 419 t Stat 0.813 P(T<=t) one-tail t Critical one-tail 0.208 1.648 P(T<=t) two-tail t Critical two-tail 1.966 Confidence Level 95% 3) p= 0.208 Samples from without sale: nị = Ex 9 t = 0.813 Samples from with sale: n = Point estimate for spending without sale a1 Ex: 1.234 Point estimate for spending with sale. 2 =
Transcribed Image Text:308.2364912.qx3zqy7 Jump to level 1 A sales manager for a large department store believes that customer spending per visit with a sale is higher than customer spending without a sale, and would like to test that claim. A simple random sample of customer spending is taken from without a sale and with a sale. The results are shown below. Without sale With sale Mean 78.138 Variance 1951.47 1852.0102 Observations 200 300 Hypothesized Mean Difference 0. 419 t Stat 0.813 P(T<=t) one-tail t Critical one-tail 0.208 1.648 P(T<=t) two-tail t Critical two-tail 1.966 Confidence Level 95% 3) p= 0.208 Samples from without sale: nị = Ex 9 t = 0.813 Samples from with sale: n = Point estimate for spending without sale a1 Ex: 1.234 Point estimate for spending with sale. 2 =
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