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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 safe Mean 74.894 78.138 Varkence 1951.47 1852.0102 Observations 200 300 Hypethestred Men Difference of 419 tStat 0.813 0.206 PTet one-tal tCrtkal one-tal 1648 P(Te two-tal tCrtical two-tal 0417 1.966 Confidence Level 95K Ex 1.234 Samples from without sale: n = Ex 9 Samples from with sale: n2 = Point estimate for spending without sale: = Ex 1.234 Point estimate for spending with sale. T2 %3D

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 safe Mean 74.894 78.138 Varkence 1951.47 1852.0102 Observations 200 300 Hypethestred Men Difference of 419 tStat 0.813 0.206 PTet one-tal tCrtkal one-tal 1648 P(Te two-tal tCrtical two-tal 0417 1.966 Confidence Level 95K Ex 1.234 Samples from without sale: n = Ex 9 Samples from with sale: n2 = Point estimate for spending without sale: = Ex 1.234 Point estimate for spending with sale. T2 %3D

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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O https://learn.zybooks.com/zybook/MAT-240-J4373-OL-TRAD-UG.22EW4/chapter/8/section/1?content_resource. A Q library > MAT 240: Applied Statistics home > Hypothesis tests for the difference between two population means E zyBooks catalog O Help/FAC Start 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 safe Mean 74.894 78.138 Variance 1951.47 1852.0102 Observations 200 300 Hypathestkpd Mean Difference df 419 tStat O.813 P(T<t) one-tal 0.208 tOrtkal one-tail 1,648 P(T<=t) two-tal 0.417 t Critkal two-tall 1.966 Confidence Level 95% p= Ex: 1.234 Samples from without sale: n = Ex: 9 Samples from with sale: n2 = Point estimate for spending without sale: = Ex 1.234 Point estimate for spending with sale: a2 = %3! Check Next ere to search fo 80°F A a O O F3 - * F11 F5 F6 F7 F9 F10 Prisc Insert Delete F12 %23 & ak 4. 5 8. 9. Backspace Nu Loc Y U P F K L %D Enter V M
Transcribed Image Text:O https://learn.zybooks.com/zybook/MAT-240-J4373-OL-TRAD-UG.22EW4/chapter/8/section/1?content_resource. A Q library > MAT 240: Applied Statistics home > Hypothesis tests for the difference between two population means E zyBooks catalog O Help/FAC Start 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 safe Mean 74.894 78.138 Variance 1951.47 1852.0102 Observations 200 300 Hypathestkpd Mean Difference df 419 tStat O.813 P(T<t) one-tal 0.208 tOrtkal one-tail 1,648 P(T<=t) two-tal 0.417 t Critkal two-tall 1.966 Confidence Level 95% p= Ex: 1.234 Samples from without sale: n = Ex: 9 Samples from with sale: n2 = Point estimate for spending without sale: = Ex 1.234 Point estimate for spending with sale: a2 = %3! Check Next ere to search fo 80°F A a O O F3 - * F11 F5 F6 F7 F9 F10 Prisc Insert Delete F12 %23 & ak 4. 5 8. 9. Backspace Nu Loc Y U P F K L %D Enter V M
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