A real estate agent believes that the mean home price in the northern part of a county is higher than the mean price in the southern part of the county and would like to test the claim. A simple random sample of housing prices is taken from each region. The results are shown below. Southern Northern Mean 155.056 168.889 Variance 345.938 560.928 Observations 18 18 Pooled Variance 453.433 Hypothesized Mean Difference df 34 t Stat = Ex: 1.234C 1.949 P(T<=t) one-tail t Critical one-tail P(T<=t) two-tail t Critical two-tail 0.030 2.441 0.060 2.728 -3 -2 -1 1 2 3 Confidence Level 99% t = Ex: 1.234 n = Ex: 9 C Degrees of freedom: df Point estimate for the southern part of the county: x1 = Ex: 1.234 Point estimate for the northern part of the county: x2 < >

MATLAB: An Introduction with Applications
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Author:Amos Gilat
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A real estate agent believes that the mean home price in the northern part of a county is higher than the mean
price in the southern part of the county and would like to test the claim. A simple random sample of housing
prices is taken from each region. The results are shown below.
Southern Northern
Мean
155.056
168.889
Variance
345.938
560.928
Observations
18
18
Pooled Variance
453.433
Hypothesized Mean Difference
df
34
t Stat
p = Ex: 1.234 C
1.949
P(T<=t) one-tail
t Critical one-tail
P(T<=t) two-tail
t Critical two-tail
0.030
2.441
0.060
2.728
1
3
Confidence Level
99%
t :
Ex: 1.234
п 3D Ex: 9
Degrees of freedom: df :
Point estimate for the southern part of the county: x1 = Ex: 1.234 C
Point estimate for the northern part of the county: x2
Transcribed Image Text:A real estate agent believes that the mean home price in the northern part of a county is higher than the mean price in the southern part of the county and would like to test the claim. A simple random sample of housing prices is taken from each region. The results are shown below. Southern Northern Мean 155.056 168.889 Variance 345.938 560.928 Observations 18 18 Pooled Variance 453.433 Hypothesized Mean Difference df 34 t Stat p = Ex: 1.234 C 1.949 P(T<=t) one-tail t Critical one-tail P(T<=t) two-tail t Critical two-tail 0.030 2.441 0.060 2.728 1 3 Confidence Level 99% t : Ex: 1.234 п 3D Ex: 9 Degrees of freedom: df : Point estimate for the southern part of the county: x1 = Ex: 1.234 C Point estimate for the northern part of the county: x2
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