In: Statistics and Probability
Approximately 10% of the US population smoke cigarettes. A local county believed their community has a lower smoke rate and commissioned a survey of 400 randomly selected individuals. The survey found that 10 of the 400 participants smoke cigarettes. Allow a 2% significance level. What decision will you arrive at regarding the hypothesis test?
Here, we have to use one sample z test for the population proportion.
The null and alternative hypotheses for this test are given as below:
Null hypothesis: H0: A community has a smoke rate of 10%.
Alternative hypothesis: Ha: A community has a smoke rate less than 10%.
H0: p = 0.10 versus Ha: p < 0.10
This is a lower tailed test.
We are given
Level of significance = α = 0.02
Test statistic formula for this test is given as below:
Z = (p̂ - p)/sqrt(pq/n)
Where, p̂ = Sample proportion, p is population proportion, q = 1 - p, and n is sample size
x = number of items of interest = 10
n = sample size = 400
p̂ = x/n = 10/400 = 0.025
p = 0.1
q = 1 - p = 0.9
Z = (p̂ - p)/sqrt(pq/n)
Z = (0.025 - 0.1)/sqrt(0.1*0.9/400)
Z = -5.0000
Test statistic = -5.0000
P-value = 0.0000
(by using z-table)
P-value < α = 0.02
So, we reject the null hypothesis
There is sufficient evidence to conclude that a community has a smoke rate less than 10%.