Among drivers who have had a car crash in the last year, 270 were randomly selected and categorized by age, with the results listed in the table below. Age Under 25 25-44 45-64 Over 64 Drivers 104 70 39 57 If all ages have the same crash rate, we would expect (because of the age distribution of licensed drivers) the given categories to have 16%, 44%, 27%, 13% of the subjects, respectively. At the 0.025 significance level, test the claim that the distribution of crashes conforms to the distribution of ages. 1) The test statistic is χ2= 2) The critical value is χ2= The conclusion is A. There is sufficient evidence to warrant the rejection of the claim that the distribution of crashes conforms to the distibuion of ages. B. There is not sufficient evidence to warrant the rejection of the claim that the distribution of crashes conforms to the distibuion of ages.
Among drivers who have had a car crash in the last year, 270 were randomly selected and categorized by age, with the results listed in the table below.
| Age | Under 25 | 25-44 | 45-64 | Over 64 |
| Drivers | 104 | 70 | 39 | 57 |
If all ages have the same crash rate, we would expect (because of the age distribution of licensed drivers) the given categories to have 16%, 44%, 27%, 13% of the subjects, respectively. At the 0.025 significance level, test the claim that the distribution of crashes conforms to the distribution of ages.
1) The test statistic is χ2=
2) The critical value is χ2=
The conclusion is
A. There is sufficient evidence to warrant the rejection of the claim that the distribution of crashes conforms to the distibuion of ages.
B. There is not sufficient evidence to warrant the rejection of the claim that the distribution of crashes conforms to the distibuion of ages.
Trending now
This is a popular solution!
Step by step
Solved in 4 steps with 2 images
