The number of car accidents in metropolitan city was found to be 20, 17, 12, 6, 7, 15, 8, 5, 16 and 14 per month respectively . Use $χ^2$- test to check whether these frequencies are in agreement with the belief that occurrence of accidents was the same during 10 months period. Test at 5% level of significance.

The null hypothesis $H_0$ : Accidents occur equally on all months.

Alternative hypothesis $H_a$ : Accidents do not occur equally on all months.

(ii) Calculation of test statistic: On the basis of this hypothesis,the number of accidents per month = $\frac{total}{10}$ = $\frac{(20 +17+12+6+7+15+8+5+16+14)}{10}$ = $\frac{120}{10}$ = 12

$\chi^2$ = $\sum$ $\frac{(O-E)^2}{E}$ = $\frac{(20-12)^2}{12}$ + $\frac{(17-12)^2}{12}$ + $\frac{(12-12)^2}{12}$ + $\frac{(6-12)^2}{12}$ + $\frac{(7-12)^2}{12}$ + $\frac{(15-12)^2}{12}$ + $\frac{(8-12)^2}{12}$ + $\frac{(5-12)^2}{12}$ + $\frac{(16-12)^2}{12}$ + $\frac{(14-12)^2}{12}$ = $\frac{244}{12}$ = 20.33

(iii) Level of significance : $α =0.05$

(iv) Critical value : the table value of χ$^2$ at 5% level of significance for $ν = 10 - 1 = 9$ degrees of freedom is $16.92$

(v) Decision : since the calculated value of $|t| =20.33$ is greater than the table value $χ^2=16.92$, the null hypothesis is rejected.

∴ Accidents do not occur equally on all months.