respectively. At the 0.1 significance level, test the claim that the distribution of crashes conforms to the distribution of ages. 149 The test statistic is x²: = The critical value is x² The conclusion is A. There is not sufficient evidence to warrant the rejection of the claim that th distribution of crashes conforms to the distibuion of ages. B. There is sufficient evidence to warrant the rejection of the claim that the
respectively. At the 0.1 significance level, test the claim that the distribution of crashes conforms to the distribution of ages. 149 The test statistic is x²: = The critical value is x² The conclusion is A. There is not sufficient evidence to warrant the rejection of the claim that th distribution of crashes conforms to the distibuion of ages. B. There is sufficient evidence to warrant the rejection of the claim that the
MATLAB: An Introduction with Applications
6th Edition
ISBN:9781119256830
Author:Amos Gilat
Publisher:Amos Gilat
Chapter1: Starting With Matlab
Section: Chapter Questions
Problem 1P
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Can someone help? I don't know why I'm getting it wrong, thank you!
Transcribed Image Text:Among drivers who have had a car crash in the last year, 160 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
60
40
23
37
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 0.1 significance level, test the claim that the distribution of
crashes conforms to the distribution of ages.
149
2
The test statistic is x²
=
2
The critical value is x²:
=
The conclusion is
O A. There is not sufficient evidence to warrant the rejection of the claim that the
distribution of crashes conforms to the distibuion of ages.
B. There is sufficient evidence to warrant the rejection of the claim that the
distribution of crashes conforms to the distibuion of ages.
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