In: Statistics and Probability
A study of seat belt users and nonusers yielded the randomly selected sample data summarized in the given table.
Number of cigarettes smoked per day
0 1-14 15 and over
Wear seat belts 168 30 50
Don't wear seat belts 150 25 77
At the 0.05 significance level, test the claim that the amount of smoking and seat belt use are related. The alternative hypothesis (H_1) is
Select one:
a. p_{0} = p_{1-14} = p_{15 and over} =1/3
b. The amount of smoking is dependent on seat belt use
c. None of the other answers in necessary true.
d. p_{wear seat belts} = p_{don't wear seat belts}
e. The amount of smoking is independent of seat belt use
Please check the given data is the same or not. Please do the comment if there is some change in the data. I will edit my answer. Thank You!
Option B is correct.
The alternative hypothesis (H_1) is The amount of smoking is dependent on seat belt use
The given data is:
zero | 0 to 14 | 15 and over | |
Wear seat belts | 168 | 30 | 50 |
don't wear seat belts | 150 | 25 | 77 |
Using excel<data<megastat<chi square
Here is the output:
Chi-square Contingency Table Test for Independence | ||||||
zero | 0 to 14 | 15 and over | Total | |||
Wear seat belts | 168 | 30 | 50 | 248 | ||
don't wear seat belts | 150 | 25 | 77 | 252 | ||
Total | 318 | 55 | 127 | 500 | ||
7.18 | chi-square | |||||
2 | df | |||||
.0276 | p-value |
Since p-value =0.03<alpha(0.05). We reject the null hypothesis.
There is sufficient evidence to claim that the amount of smoking is dependent on seat belt use.