Answer:
(a) H₀: μ ≥ 12 vs. Hₐ: μ < 12.
(b) The p-value of the test is 0.0384.
(c) Yes.
Step-by-step explanation:
A hypothesis test for single mean can be used to determine whether the actual mean waiting time is significantly less than the claim of 12 minutes made by the taxpayer advocate.
(a)
The hypothesis can be defined as:
H₀: The actual mean waiting time is less than 12 minutes, i.e. μ ≥ 12.
Hₐ: The actual mean waiting time is not less than 12 minutes, i.e. μ < 12.
The information provided is:
[tex]n=50\\\bar x=10\\\sigma=8\\\alpha =0.05[/tex]
Since the population standard deviation is provided use a z-test for single mean.
The test statistic is:
[tex]z=\frac{\bar x-\mu}{\sigma/\sqrt{n}}=\frac{10-12}{8/\sqrt{50}}=-1.77[/tex]
(b)
The p value is computed as follows:
[tex]P(Z<-1.77)=1-P(Z<1.77)\\=1-0.9616\\=0.0384[/tex]
*Use a z-table for the probability.
Thus, the p-value of the test is 0.0384.
(c)
The decision rule for the hypothesis test is:
If the p-value of the test is less than the significance level, α then the null hypothesis will be rejected and vice-versa.
The p-value = 0.0384 < α = 0.05
The p-value is less than α thus, the null hypothesis will be rejected at 5% level of significance.
Conclusion:
The actual mean waiting time is significantly less than the claim of 12 minutes made by the taxpayer advocate.