After implementing a new strategy to improve services for patients, the Emergency Department of a hospital claims customers spend fewer than 20 minutes on average to see a physician. A randomly selected sample of 132 patients shows the average wait time of 18.2 minutes. Test the Emergency Department's claim at the 10% level of significance, assuming the standard deviation of wait time for all patients in that hospital is 2.3 minutes.
Here, we have to use one sample z test for the population mean.
The null and alternative hypotheses are given as below:
Null hypothesis: H0: Customers spend 20 minutes on average to see a physician.
Alternative hypothesis: Ha: Customers spend fewer than 20 minutes on average to see a physician.
H0: µ = 20 versus Ha: µ < 20
This is a lower tailed test.
The test statistic formula is given as below:
Z = (Xbar - µ)/[σ/sqrt(n)]
From given data, we have
µ = 20
Xbar = 18.2
σ = 2.3
n = 132
α = 0.10
Critical value = -1.2816
(by using z-table or excel)
Z = (18.2 - 20)/[2.3/sqrt(132)]
Z = -8.9915
P-value = 0.0000
(by using Z-table)
P-value < α = 0.10
So, we reject the null hypothesis
There is sufficient evidence to conclude that Customers spend fewer than 20 minutes on average to see a physician.
Get Answers For Free
Most questions answered within 1 hours.