Apply the Chi-Square Goodness-Of-Fit Test The Value of the Chi-Square Test Statistic Is
A

Apply the Chi-Square goodness-of-fit test.
-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, 15% of purchases
Were for condominiums, 30% 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
Showed the following: $\begin{array}{l|c|c|c|c|c}\text { Type of Property } & \text { Condos } & \text { Townhouses } & \text { Homes } & \text { Commercial } & \text { Land } \\\hline \text { Frequency } & 89 & 121 & 78 & 25 & 12\end{array}$

The value of the Chi-square test statistic is
A. $\chi ^ { 2 } = 5.993$
B. $\chi ^ { 2 } = 62.538$
C. $\chi ^ { 2 } = 101.482$
D. $\chi ^ { 2 } = 77.431$
E. $\chi ^ { 2 } = 8.101$