Final answer:
To determine if there is enough evidence to support the director's feelings that the surgeons perform fewer operations per year than the national average, we conduct a hypothesis test.
Step-by-step explanation:
To determine if there is enough evidence to support the director's feelings that the surgeons perform fewer operations per year than the national average, we need to conduct a hypothesis test. The null hypothesis, H0, states that the mean number of operations performed by the surgeons is equal to the national average (μ = 211).
The alternative hypothesis, Ha, states that the mean number of operations performed by the surgeons is less than the national average (μ < 211).
In this case, we will use a one-sample t-test since the population standard deviation is unknown. With a sample size of 15 and a sample mean of 208.8, we can calculate the test statistic using the formula:
t = (sample mean - population mean) / (sample standard deviation / √sample size)
Using the given values, t = (208.8 - 211) / (3.8 / √15) = -0.4
We can compare this test statistic to the critical t-value at α = 0.10 with degrees of freedom equal to the sample size minus 1. In this case, the critical t-value is approximately -1.345. Since the test statistic (-0.4) is greater than the critical t-value (-1.345), we fail to reject the null hypothesis.
Therefore, there is not enough evidence to support the director's feelings that the surgeons perform fewer operations per year than the national average.