Final answer:
The sampling distribution of sample means is approximately normal with a mean equal to the population mean and a standard deviation equal to the population standard deviation divided by the square root of the sample size.
Step-by-step explanation:
The sampling distribution of sample means can be approximated by a normal distribution. The mean of the sampling distribution of sample means is equal to the population mean, which is 266 days. The standard deviation of the sampling distribution of sample means, also known as the standard error, is equal to the population standard deviation divided by the square root of the sample size. In this case, the standard error would be 16 / sqrt(35) = 2.71.