MATH 1300 week 6 Assignment 2: Project for Module 6

- MATH1300 Assignment 2: Project for module 6
Student Name
William Penn University
MATH1300
Professor Name
Submission Date
Chi-square analysis
Based on the given data uploaded, change the variable sale price into two categories: above the mean price or not; and change the living area into two categories: above the median living area or not. Using the resulting variables, will you conclude that a larger house corresponds to a higher price?
hypotheses:
The null and the alternative hypotheses are given by
H0: There is no association between the Sale Price and the Living Area.
Ha: There is an association between Sale Price and Living AreaÂ
Data:
| Statistics | |||
| sellprice | LIVINGAREA | ||
| N | Valid | 50 | 50 |
| Missing | 0 | 0 | |
| Mean | 851.700 | 21.12 | |
| Median | 760.000 | 20.00 | |
P-Value:
From the Chi-Square test results, the p-value is:
p=<.001 <0.05, reject H0
Which is lower than 0.05, and confirms the significance of the result.
The data shows an association between sales prices and living areas. The cross-tabulation chart shows that 81.8% per cent of homes sold under the mean price had a living area below the median, while 76.5% per cent of homes sold above the mean price had a living area above the median.
Conclusion:
There is evidence that “Price” and “Living Area” are associated, so we can conclude that variables “Sell Price” and “Living Area” are associated where a greater sale price is associated with a larger living area, and we reject the null hypothesis.
