In: Statistics and Probability
Historically, the proportion of people who trade in their old car to a car dealer when purchasing a new car is 48%. Over the previous 6 months, in a sample of 115 new-car buyers, 46 have traded in their old car. To determine (at the 5% level of significance) whether the proportion of new-car buyers that trade in their old car has statistically significantly decreased; what is the critical value? (please round your answer to 2 decimal places)
Given
p = 0.48 (48%)
Population proportion
n = 115
Sample Size
46 out of 115 traded in their old car
p̂ = 46/115 = 0.4
Sample proportion
α = 0.05
Level of significance
The null and alternative hypothesis are
Ho : p = 0.48
H1 : p < 0.48
This is a left tailed test
We find z, the test statistic as
where
z = -1.72
We find p-value using Standard Normal tables or Excel function
NORM.S.DIST
p-value = NORM.S.DIST(-1.7172, TRUE)
(for left
tailed we keep the second parameter TRUE)
p-value = 0.04
0.04 < 0.05
That is p-value < α
Hence, we Reject Ho
Conclusion
:
There is sufficient evidence to conclude that
the proportion of new-car buyers that trade in their old car has
statistically significantly decreased