Step 1 :Given that the population mean, \(\mu\), is 32.9 and the population standard deviation, \(\sigma\), is 55.3, and the sample size, \(n\), is 32.
Step 2 :The mean of the distribution of sample means, often denoted as \(\mu_{x}\), is equal to the population mean, \(\mu\). So, \(\mu_{x} = 32.9\).
Step 3 :The standard deviation of the distribution of sample means, often denoted as \(\sigma_{x}\), is equal to the population standard deviation, \(\sigma\), divided by the square root of the sample size, \(n\). So, \(\sigma_{x} = \sigma / \sqrt{n} = 55.3 / \sqrt{32}\).
Step 4 :Calculate \(\sigma_{x}\): \(\sigma_{x} = 55.3 / \sqrt{32} \approx 9.77\) (rounded to two decimal places).
Step 5 :\(\boxed{\mu_{x} = 32.9, \sigma_{x} \approx 9.77}\)