Let p equal the proportion of drivers who use a seat belt in a state that does not have a mandatory seat belt law. It was claimed that p = 0.14. An advertising campaign was conducted to increase this proportion. Two months after the campaign, y = 104 out of a random sample of n = 590 drivers were wearing their seat belts. Do an appropriate hypothesis test (show the 6-steps) to see if the campaign was successful. Use 5% significance level to draw a conclusion.
a)
Hypothesis
H0: p = 0.14
Ha: p > 0.14
Sample proportion = y / n = 104 / 590 = 0.1763
b)
Test statistics
z = - p / sqrt( p (1 -p ) / n)
= 0.1763 - 0.14 / sqrt( 0.14 * 0.86 / 590)
= 2.54
This is test statistics value.
c)
Critical region -
Critical value at 0.05 level is 1.645
Rejection region - Reject H0 if test statistics > 1.645
d)
Decision -
Since test statistics > 1.645, we have sufficient evidence to reject H0.
e)
p-value = P( Z > z)
= P( Z > 2.54)
= 0.0055
f)
Conclusion -
We conclude at 0.05 level that we have enough evidence to support the claim that campaign was successful.
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