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A sales manager for a large department store believes that customer spending per visit with a sale is lower 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. Mean Variance Observations Hypothesized Mean Difference df t Stat P(T<=t) one-tail t Critical one-tail P(T<=t) two-tail t Critical two-tail Confidence Level Without sale With sale 82.904 71.316 1984.96 1826.41 150 200 0 328 -2.465 0.0071 -1.65 0.0142 -1.967 99% = -3 Samples from without sale: nwithout = Samples from with sale: nwith Point estimate for spending without sale: without = Ex: 1.234 Point estimate for spending with sale: with = Ex: 9 -2 -1 P = t = 0 Ex: 1.234 1 2 3

A sales manager for a large department store believes that customer spending per visit with a sale is lower 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. Mean Variance Observations Hypothesized Mean Difference df t Stat P(T<=t) one-tail t Critical one-tail P(T<=t) two-tail t Critical two-tail Confidence Level Without sale With sale 82.904 71.316 1984.96 1826.41 150 200 0 328 -2.465 0.0071 -1.65 0.0142 -1.967 99% = -3 Samples from without sale: nwithout = Samples from with sale: nwith Point estimate for spending without sale: without = Ex: 1.234 Point estimate for spending with sale: with = Ex: 9 -2 -1 P = t = 0 Ex: 1.234 1 2 3

Glencoe Algebra 1, Student Edition, 9780079039897, 0079039898, 2018
Glencoe Algebra 1, Student Edition, 9780079039897, 0079039898, 2018
18th Edition
ISBN:9780079039897
Author:Carter
Publisher:Carter
Chapter10: Statistics
Section: Chapter Questions
Problem 22SGR
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A sales manager for a large department store believes that customer spending per visit with a sale is lower 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. Mean Variance Observations Hypothesized Mean Difference. df t Stat P(T<=t) one-tail t Critical one-tail P(T<=t) two-tail t Critical two-tail Confidence Level Without sale With sale 82.904 71.316 1984.96 1826.41 150 200 0 328 -2.465 0.0071 -1.65 0.0142 -1.967 99% -2 Samples from without sale: nwithout = Samples from with sale: nwith = Point estimate for spending without sale: without = Ex: 1.234 Point estimate for spending with sale: with Ex: 9 -1 P = t = 0 Ex: 1.234 1 2 3
Transcribed Image Text:A sales manager for a large department store believes that customer spending per visit with a sale is lower 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. Mean Variance Observations Hypothesized Mean Difference. df t Stat P(T<=t) one-tail t Critical one-tail P(T<=t) two-tail t Critical two-tail Confidence Level Without sale With sale 82.904 71.316 1984.96 1826.41 150 200 0 328 -2.465 0.0071 -1.65 0.0142 -1.967 99% -2 Samples from without sale: nwithout = Samples from with sale: nwith = Point estimate for spending without sale: without = Ex: 1.234 Point estimate for spending with sale: with Ex: 9 -1 P = t = 0 Ex: 1.234 1 2 3
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