Final answer:
The expected value of the sampling distribution of the sample mean is $11.40 and the standard deviation is $0.50. The shape of the sampling distribution of the sample mean is normal.
Step-by-step explanation:
The expected value of the sampling distribution of the sample mean can be calculated using the formula: expected value = population mean = $11.40. So, the expected value of the sampling distribution of the sample mean is $11.40.
The standard deviation of the sampling distribution of the sample mean can be calculated using the formula: standard deviation = population standard deviation / square root of sample size. Given that the population standard deviation is $4 and the sample size is 64, the standard deviation of the sampling distribution of the sample mean is $4 / √64 = $0.50.
The shape of the sampling distribution of the sample mean is normal. This is because the Central Limit Theorem states that for a large sample size, the sampling distribution of the sample mean will be approximately normally distributed regardless of the shape of the population distribution.