Your professor preformed a hypothesis test comparing the mean appraised values in Levittown (sample 2) and Farmington (sample 1). He obtained the following results:
Null hypothesis: Difference of means = 0 Sample 1: n = 60, mean = 191330, s.d. = 32603 standard error of mean = 4209.03 95% confidence interval for mean: 182908 to 199752 Sample 2: n = 99, mean = 172340, s.d. = 16921 standard error of mean = 1700.62 95% confidence interval for mean: 168965 to 175715 Test statistic: t(157) = (191330 - 172340)/3934.01 = 4.82713 Two-tailed p-value = 3.259e-006 (one-tailed = 1.629e-006)
1) What would be the alternate hypothesis for which you would use the two-tailed p-value?
2) Given the alternate hypothesis you suggest, what do you conclude from this output?
1) What would be the alternate hypothesis for which you would use the two-tailed p-value?
Given,
Null hypothesis: Difference of mean = 0
And test is Two Tailed,
Therefore,
Alternative hypothesis: Difference of mean ≠ 0.
2) Given the alternate hypothesis you suggest, what do you conclude from this output?
Given, P-Value: 3.259e-006 = 0.000003259
The P-Value is less than 0.05 then reject null hypothesis.
So, Difference of mean ≠ 0 is correct.
Conclusion:
Comparing the mean appraised values in Levittown (sample 2) and Farmington (sample 1) are not same.
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