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. 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 74.894 1951.47 200 0 419 0.813 0.208 1.648 0.417 1.966 95% With sale 78.138 1852.0102 300 -3 = Ex: 9 -2 Samples from without sale: nwithout Samples from with sale: nwith = Point estimate for spending without sale: Twithout = Ex: 1.234 Point estimate for spending with sale: with = -1 0 p= Ex: 1.234 t = 1 2 3
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. 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 74.894 1951.47 200 0 419 0.813 0.208 1.648 0.417 1.966 95% With sale 78.138 1852.0102 300 -3 = Ex: 9 -2 Samples from without sale: nwithout Samples from with sale: nwith = Point estimate for spending without sale: Twithout = Ex: 1.234 Point estimate for spending with sale: with = -1 0 p= Ex: 1.234 t = 1 2 3
MATLAB: An Introduction with Applications
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ISBN:9781119256830
Author:Amos Gilat
Publisher:Amos Gilat
Chapter1: Starting With Matlab
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
Transcribed Image Text: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.
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
74.894
With sale
78.138
1951.47 1852.0102
200
300
0
419
0.813
0.208
1.648
0.417
1.966
95%
-3
-2
Samples from without sale: nwithout = Ex: 9
Samples from with sale: nwith =
Point estimate for spending without sale: Twithout = Ex: 1.234
Point estimate for spending with sale: Twith =
0
p= Ex: 1.234
t =
1
2
3
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