In: Statistics and Probability
A real estate agency, located in a metropolitan area in the northeastern U.S., kept data on the various types of properties purchased in the area. Historically 20% of purchases were for condominiums, 25% were for townhouses, 40% for single family homes, 10% for commercial properties and 5% for land. With changing demographics, the agency wondered if the current distribution matches the historical distribution. Recent data is shown in the table below. What is the standardized residual associated with townhouses? (Round to two decimal places.)
Type of Property & Frequency:
Condos =89, Townhouses = 121, Homes = 78, Commercial = 25, Land =
12
Applying chi square data:
relative | observed | Expected | residual | Chi square | |
category | frequency | Oi | Ei=total*p | R2i=(Oi-Ei)/√Ei | R2i=(Oi-Ei)2/Ei |
1 | 0.200 | 89.00 | 65.00 | 2.98 | 8.862 |
2 | 0.250 | 121.00 | 81.25 | 4.41 | 19.447 |
3 | 0.400 | 78.00 | 130.00 | -4.56 | 20.800 |
4 | 0.100 | 25.00 | 32.50 | -1.32 | 1.731 |
5 | 0.0500 | 12.00 | 16.25 | -1.05 | 1.112 |
total | 1.000 | 325 | 325 | 51.951 |
standardized residual associated with townhouses =4.41