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Many states now collect data on traffic stops regarding the race of the driver.

ID: 3156507 • Letter: M

Question

Many states now collect data on traffic stops regarding the race of the driver. With more data in hand attention has turned to civil rights issues. Example, data from 2533 traffic stops in Cincinnati report the race of the driver (Black, White, or Other) and whether the traffic stop resulted in a search of the vehicle. Is race a factor in vehicle searches? At =0.05, what conclusion can we make?

Searched

Black

White

Other

Total

No

787

594

27

1408

Yes

813

293

19

1125

Total

1600

887

46

2533

Ho:                                                                   Ha:

Critical Value(s)/rejection region(s):

Test Statistic:

P-value:

Decision and conclusion:

Searched

Black

White

Other

Total

No

787

594

27

1408

Yes

813

293

19

1125

Total

1600

887

46

2533

Explanation / Answer

H0: Race and vehicle searches are independent.

H1: Race and vehicle searches are not independent.

At df=(r-1)(c-1)=(2-1)(3-1)=2, and alpha=0.05, reject null hypothesis, if X^2>5.991.

Compute test statistic.

X^2=(Observed-Expected)^2/Expected

=(787-889.4)/889.4+...+(19-20.4)^2/20.4

=73.253

The p value is 0.000.

The Chi-square test statistic falls in critical region (p value less than alpha=0.05), reject null hypothesis to cocnclude that race a factor in vehicle searches.

Searched Black (Expected) White (Expected) Other (Expected) No 889.4 [(1408*1600)/2533] 493.1 25.6 Yes 710.6 393.9 20.4 [(1125*46)/2533]
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