In: Statistics and Probability
Suppose that 26 of 200 tires of brand A failed to last 30,000 miles whereas the corresponding figures for 200 tires of brands B, C, and D were 23, 15, and 32. Test the null hypothesis that there is no difference in the durability of the four kinds of tires at the 0.05 level of significance. Using the above data, test the null hypothesis that the failure rates of the four tire brands are 10% at the 0.05 level of significance.
null hypothesis:Ho: there is no difference in the durability of the four kinds of tires
Alternate hypothesis:Ha: there is a difference in the durability of the four kinds of tires
degree of freedom(df) =(rows-1)*(columns-1)= | 3 |
for 3 df and 0.05 level , critical value χ2= | 7.815 |
Decision rule : reject Ho if value of test statistic X2>7.815 |
Applying chi square test of homogeniety: |
Expected | Ei=row total*column total/grand total | A | B | C | D | Total |
failed | 24.0000 | 24.0000 | 24.0000 | 24.0000 | 96.00 | |
passed | 176.0000 | 176.0000 | 176.0000 | 176.0000 | 704.00 | |
total | 200.00 | 200.00 | 200.00 | 200.00 | 800.00 | |
chi square χ2 | =(Oi-Ei)2/Ei | A | B | C | D | Total |
failed | 0.167 | 0.042 | 3.375 | 2.667 | 6.2500 | |
passed | 0.023 | 0.0057 | 0.4602 | 0.3636 | 0.8523 | |
total | 0.1894 | 0.0473 | 3.8352 | 3.0303 | 7.102 | |
test statistic X2 = | 7.102 |
since test statistic does not falls in rejection region (<7.815) we fail to reject null hypothesis | ||
we do not have have sufficient evidence to conclude that there is a difference in the durability of the four kinds of tires |