In: Statistics and Probability
The following table is taken from the publication 1992 Uniform Crime Reports for the United States. It gives the distribution by region for 1992 motor vehicle thefts. (A sample of 100 records was selected from each region.).Test the null hypothesis that there is no relationship between region of the country, and type of vehicle stolen. Use the .05 significance level
Region | Cars | Other |
NE | 85 | 15 |
Mid W | 80 | 20 |
S | 65 | 35 |
W | 60 | 40 |
null hypothesis:Ho: there is no relationship between region of the country, and type of vehicle stolen.
Alternate hypothesis:Ho: there is a significant relationship between region of the country, and type of vehicle stolen.
degree of freedom(df) =(rows-1)*(columns-1)= | 3 |
for 3 df and 0.05 level of signifcance critical region χ2= | 7.815 |
Applying chi square test of independence: |
Expected | Ei=row total*column total/grand total | Cars | Other | Total |
NE | 72.50 | 27.50 | 100 | |
Mid W | 72.50 | 27.50 | 100 | |
S | 72.50 | 27.50 | 100 | |
W | 72.50 | 27.50 | 100 | |
total | 290 | 110 | 400 | |
chi square χ2 | =(Oi-Ei)2/Ei | Cars | Other | Total |
NE | 2.1552 | 5.6818 | 7.837 | |
Mid W | 0.7759 | 2.0455 | 2.821 | |
S | 0.7759 | 2.0455 | 2.821 | |
W | 2.1552 | 5.6818 | 7.837 | |
total | 5.862 | 15.455 | 21.3166 |
test statistic X2 =21.317
as test statistic fall in rejection region ; we reject null hypothesis and conclude that there is a significant relationship between region of the country, and type of vehicle stolen.