A simple random sample of front-seat occupants involved in car crashes is obtained. Among 2850 occupants not wearing seat belts, 34 were killed. Among 7617 occupants wearing seat belts, 15 were killed. Use a 0.05 significance level to test the claim that seat belts are effective in reducing fatalities. Complete parts (a) through (c).
Null hypothesis: There is no effect of wearing seat belts in reducing fatalities of front seat occupants in the car crashes or Proportion of occupants who died wearing seat belts (p1) Proportion of occupants who died not wearing seat belts (p2)
Alternative hypothesis: Wearing Seat belts is effective in reducing fatalities or p1> p2
Here p1 = 15/7617 = 0.002
p2 = 34/2850 = 0.012
n1 = 7617
n2 = 2850
So pooled proportion (pc) = (15+44)/(7617+2850) = 0.006
Now test statistic z is given by
= (0.002- 0.012)/0.0017
= -5.88
Critical value of z at 0.05 significance level is
z critical = 1.96
Since magnitude of the calculated z is greater than the critical z, we will reject the null hypothesis. Hence wearing seat belts is effective in reducing fatalities.
A simple random sample of front-seat occupants involved in car crashes is obtained. Among 2850 occupants...
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A simple random sample of front-seat occupants involved in car crashes is obtained. Among 2853 occupants not wearing seat belts, 36 were killed. Among 7754 occupants wearing seat belts, 18 were killed. Use a 0.01 significance level to test the claim that seat belts are effective in reducing fatalities. Complete parts (a) through (c) below. a. Test the claim using a hypothesis test. Consider the first sample to be the sample of occupants not wearing seat belts and the second...