A complex is divided into two parts: Section A and Section B. The plaintiffs in a lawsuit claimed that white potential renters were steered to section A, while black renters were steered to section B. The table displays the locations of recently rented apartments. Do you think there is evidence of a racial bias? Assume the conditions for inference are satisfied. Complete parts a through c. NOTE: With respect, this data can be considered sensitive to some individuals, but the intent of this question is to better understand some aspects of a relevant social issue in society through the use of science; in this case, statistical analysis. Please keep in this mind as you complete the question. |
New Renters |
||||
White |
Black |
Total |
|||
Section A |
75 |
15 |
90 |
||
Section B |
75 |
28 |
103 |
||
Total |
150 |
43 |
193 |
a) Perform a chi-square test of homogeneity to determine if there is evidence that blacks are less likely to rent in section A than in section B.
What is the value of the test statistic
chi squaredχ2?
chi squaredχ2=?
(Round to three decimal places as needed.)
What is the P-value of the chi-square test of homogeneity?
P-value=?
(Round to three decimal places as needed.)
b) You can also check the data for evidence of racial bias using two-proportion z procedures.z procedures.
Find the z-value for this approach.
z=?
(Round to two decimal places as needed.)
What is the P-value of the two-proportion z-test?
P-value=?
(Round to three decimal places as needed.)
Applying chi square test:
Expected | Ei=row total*column total/grand total | white | Black | Total |
Section A | 69.9482 | 20.0518 | 90.00 | |
Section B | 80.0518 | 22.9482 | 103.00 | |
total | 150.00 | 43.00 | 193.00 | |
chi square χ2 | =(Oi-Ei)2/Ei | white | Black | Total |
Section A | 0.365 | 1.273 | 1.6376 | |
Section B | 0.319 | 1.112 | 1.4309 | |
total | 0.6837 | 2.3848 | 3.069 | |
test statistic X2 = | 3.069 |
degree of freedom(df) =(rows-1)*(columns-1)= | 1 |
from excel: p value =chidist(3.069,1) =0.080
z =1.75
p value =0.080
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