In: Math
Using chi-square, test the null hypothesis that the prevalence of serious mental illness does not differ by type of substance abuse.
A sample of 118 college students is asked whether they are involved in campus activities. Using the following cross tabulation depicting student responses by the region in which their colleges are located, conduct a chi-square test of significance for regional differences.
Campus Activity Participation
Region Involved Uninvolved
East 19 10
South 25 6
Midwest 15 15
West 8 20
null hypothesis: Ho: prevalence of serious mental illness and type of substance abuse are independent.
alternate hypothesis:Ha: prevalence of serious mental illness and type of substance abuse are dependent.
degree of freedom =(row-1)*(column-1)=(4-1)*(2-1)=3
for 3 degree of freedom and 0.05 level rejection region: >7.815
applying chi square test of independence:
Observed | Oi | Involved | Uninvolved | Total |
east | 19 | 10 | 29 | |
south | 25 | 6 | 31 | |
midwest | 15 | 15 | 30 | |
west | 8 | 20 | 28 | |
Total | 67 | 51 | 118 | |
Expected | Ei=Σrow*Σcolumn/Σtotal | Involved | Uninvolved | Total |
east | 16.466 | 12.534 | 29 | |
south | 17.602 | 13.398 | 31 | |
midwest | 17.034 | 12.966 | 30 | |
west | 15.898 | 12.102 | 28 | |
Total | 67 | 51 | 118 | |
chi square χ2 | =(Oi-Ei)2/Ei | Involved | Uninvolved | Total |
east | 0.390 | 0.510 | 0.900 | |
south | 3.110 | 4.090 | 7.200 | |
midwest | 0.240 | 0.320 | 0.560 | |
west | 3.920 | 5.150 | 9.070 | |
Total | 7.660 | 10.070 | 17.730 |
as test statisic 17.730 is in rejection region we reject null hypothesis
we have sufficient evidence at 0.05 level to conclude that prevalence of serious mental illness and type of substance abuse are dependent.