A researcher for an automobile manufacturer wants to see if the ages of automobiles are equally distributed among three categories: less than 3 years old, 3 to 7 years old, and 8 years old or older. A sample of 30 adult automobile owners is selected, and the results are shown. At ? = 0.05 can it be considered that the ages of the automobiles are equally distributed among 3 categories?
Category | Less Than 3 Years | 3 to 7 Years | 8 Years and Older |
Number | 8 | 10 | 12 |
here null hypothesis:Ho: ages of the automobiles are equally distributed among 3 categories
alternate hypothesis:Ha: ages of the automobiles are not equally distributed among 3 categories
degree of freedom =catagories-1=3-1=2
for 2 degree of freedom and 0.05 level rejection region >5.991
applying chi square goodness of fit test:
observed | Expected | Chi square | |||
category | Probability(p) | Oi | Ei=total*p | R2i=(Oi-Ei)2/Ei | |
<3 | 1/3 | 8.000 | 10.000 | 0.4000 | |
3-7 | 1/3 | 10.000 | 10.000 | 0.0000 | |
>=8 | 1/3 | 12.000 | 10.000 | 0.4000 | |
total | 1.000 | 30 | 30 | 0.8000 |
here as test statistic 0.800 false below rejection region we can not reject null hypothesis
we do not have sufficient evidence to conclude that ages of the automobiles are not equally distributed among 3 categories
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