In: Statistics and Probability
You are the head of an agency seeking funding for a program to reduce unemployment among teenage males. Nationally, the unemployment rate for this group is 18%. A random sample of 323 teenage males in your area reveals an unemployment rate of 21.7%. Is the unemployment rate among teenage males in your area significantly higher than that in the population? Can you demonstrate a need for the program at 95% confidence level? Explain the results of your rest of significance as you would to a funding agency.
Let P : Proportion of unemployment among teenage males = 0.18
n = number of teenage males selected in a sample = 323.
p : sample Proportion of unemployment among teenage males = 21.7.% = 0.217
We have to test the hypothesis that
Whether or not unemployment rate among teenage males in sample is higher than in the population.
i.e. Null Hypothesis- Ho : P = 0.18
against
Alternative Hypothesis- Ha : P > 0.18 ( Right-tailed test)
Alpha = level of significance = 0.05
We used one sample proportion test for testing population proportion.
The value of test statistic is
Under Ho : P = 0.18
The value of test statistic is
Critical value:
p-value :
Since the test is right-tailed and value of test statistic is 1.7290
p-value = P ( Z> 1.7290)
from normal probability table
p-value = P ( Z> 1.7290) = 0.0419
Decision :
Since p-value < level of significance alpha, we reject Ho at 5% level of significance.
Conclusion :
There is sufficient evidence to claim that unemployment rate among teenage males in sample is higher than in the population.
You need to demonstrate a need for the program at 95% confidence level.