Problem Description:
The Hypothesis Testing Assignment focuses on examining two critical parameters related to the housing market in the East South Central region. The first parameter is the mean housing price, with the hypothesis that it is significantly lower than the national marketing average. The second parameter is the average square footage of homes, with the hypothesis that it differs significantly from the national market average. The analysis employs a 1-tail test for housing prices and a 2-tail test for square footage, both conducted at a 95% confidence level.
1-Tail Test for Housing Prices:
Hypotheses:
- Null Hypothesis (H₀):
- Alternative Hypothesis (H₁):
housing price of East South Central region≥288,407μhousing price of East South Central region≥288,407
housing price of East South Central region<288,407μhousing price of East South Central region<288,407
Data Analysis:
- Sample Mean: $220,023
- Standard Deviation: $73,475
- Sample Size (n): 500
- Confidence Level: 95%
- Significance Level (α): 0.05
Test Calculations:
- t-test statistic: -20.81
- p-value: 0.0000
Interpretation:
- The p-value (0.0000) is less than the significance level of 0.05.
- Rejection of the null hypothesis.
- Conclusion:
Housing prices in East South Central are significantly lower than the national marketing average.
2-Tail Test for Square Footage:
Hypotheses:
- Null Hypothesis (H₀):
- Alternative Hypothesis (H₁):
square footage in East South Central region=288,407μsquare footage in East South Central region=288,407
square footage in East South Central region≠288,407μsquare footage in East South Central region=288,407
Data Analysis:
- Sample Mean: 2,007 sq. ft.
- Standard Deviation: 329 sq. ft.
- Sample Size (n): 500
- Confidence Level: 95%
- Significance Level (α): 0.05
Test Calculations:
- t-test statistic: 4.28
- p-value: 0.0000
Interpretation:
- The p-value (0.0000) is less than the significance level of 0.05.
- Rejection of the null hypothesis.
- Conclusion:
The average square footage for homes in East South Central is significantly different from the national market.
Comparison of Test Results:
Housing Prices:
- 95% Confidence Interval: $213,567.1, $226,478.9
- Conclusion:
Housing prices in East South Central are significantly lower than the national marketing average.
Square Footage:
- 95% Confidence Interval: 1,978.1,2,035.91,978.1,2,035.9
- Conclusion:
The average square footage for homes in East South Central is significantly different from the national market.
Conclusions:
The statistical analysis leads to the robust conclusion that housing prices in East South Central are significantly lower than the national marketing average. Additionally, the average square footage for homes in East South Central is significantly different from the national market. These findings provide valuable insights into the regional housing market dynamics.