In: Statistics and Probability
A simple random sample of front-seat occupants involved in car crashes is obtained. Among 2901 occupants not wearing seat belts,27 were killed. Among 7877 occupants wearing seat belts,16 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 sample to be the sample of occupants wearing seat belts. What are the null and alternative hypotheses for the hypothesis test?
A. H0: p1=p2
H1:p1≠p2
B.H0: p1=p2
H1: p1> p2
C.H0: p1≤p2
H1:p1≠p2
D.H0:p1≠p2
H1:p1=p2
E.H0:p1=p2
H1:p1<p2
F.H0:p1≥p2
H1:p1≠p2
Identify the test statistic.
z=
(Round to two decimal places as needed.)
Identify the P-value.
P-value=
(Round to three decimal places as needed.)
What is the conclusion based on the hypothesis test?
The P-value is
greater than
less than
the significance level of
alphaαequals=0.01, so
reject
fail to reject
the null hypothesis. There
is not
is
sufficient evidence to support the claim that the fatality rate is higher for those not wearing seat belts.
b. Test the claim by constructing an appropriate confidence interval.
The appropriate confidence interval is
< (p 1 - p 2)<
(Round to three decimal places as needed.)
What is the conclusion based on the confidence interval?
Because the confidence interval limits
do not include
include
0, it appears that the two fatality rates are
equal.
not equal.
Because the confidence interval limits include
only positive
only negative
positive and negative
values, it appears that the fatality rate is
higher
the same
lower
for those not wearing seat belts.
c. What do the results suggest about the effectiveness of seat belts?
A.The results suggest that the use of seat belts is associated with lower fatality rates than not using seat belts.
B.The results suggest that the use of seat belts is associated with higher fatality rates than not using seat belts.
C.The results suggest that the use of seat belts is associated with the same fatality rates as not using seat belts.
D.The results are inconclusive.
B.H0: p1=p2
H1: p1> p2
===============
sample #1 ----->
first sample size, n1=
2901
number of successes, sample 1 = x1=
27
proportion success of sample 1 , p̂1=
x1/n1= 0.0093
sample #2 ----->
second sample size, n2 =
7877
number of successes, sample 2 = x2 =
16
proportion success of sample 1 , p̂ 2= x2/n2 =
0.0020
difference in sample proportions, p̂1 - p̂2 =
0.0093 - 0.0020 =
0.0073
pooled proportion , p = (x1+x2)/(n1+n2)=
0.003989608
std error ,SE = =SQRT(p*(1-p)*(1/n1+
1/n2)= 0.00137
Z-statistic = (p̂1 - p̂2)/SE = (
0.007 / 0.0014 ) =
5.31
p-value =
0.0000
decision : p-value<α,Reject null hypothesis
The P-value is
less than
the significance level of
alphaαequals=0.01, so
reject the null hypothesis. There
is
sufficient evidence to support the claim that the fatality rate is higher for those not wearing seat belts.
b)
level of significance, α = 0.01
Z critical value = Z α/2 =
2.576 [excel function: =normsinv(α/2)
Std error , SE = SQRT(p̂1 * (1 - p̂1)/n1 + p̂2 *
(1-p̂2)/n2) = 0.00185
margin of error , E = Z*SE = 2.576
* 0.0019 = 0.00477
confidence interval is
lower limit = (p̂1 - p̂2) - E = 0.007
- 0.0048 = 0.0025014
upper limit = (p̂1 - p̂2) + E = 0.007
+ 0.0048 = 0.0120504
so, confidence interval is ( 0.003
< p1 - p2 < 0.012
)
Because the confidence interval limits include
only positive
values, it appears that the fatality rate is
higher
for those not wearing seat belts.
c)
A.The results suggest that the use of seat belts is associated with lower fatality rates than not using seat belts.
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