Final answer:
The mean of the distribution of sample means, μ¯x, is equal to the population mean, μ. The standard deviation of the distribution of sample means, σ¯x, is calculated by dividing the population standard deviation, σ, by the square root of the sample size, n.
Step-by-step explanation:
The mean of the distribution of sample means, μ¯x, is equal to the population mean, μ, which is 6.5.
The standard deviation of the distribution of sample means, σ¯x, is calculated by dividing the population standard deviation, σ, by the square root of the sample size, n, which is 239.
So, σ¯x = σ/√n = 17.6/√239 ≈ 1.14 (rounded to two decimal places).