Final answer:
This detailed answer explains how to list the possible samples, calculate standard deviations, and compares population and sample standard deviations.
Step-by-step explanation:
(i) To find the 16 different possible samples when 2 of the ages are randomly selected with replacement, we can use a combination formula. The samples are:
42, 42
42, 55
55, 42
55, 55
42, 42
42, 55
55, 42
55, 55
42, 42
42, 55
55, 42
55, 55
42, 42
42, 55
55, 42
55, 55
(ii) To find the standard deviation of each of the 16 samples, we need to calculate the standard deviation using the formula:
standard deviation = sqrt((x1 - mean)^2 + (x2 - mean)^2)/2
After calculating the standard deviation for each sample, we can summarize the sampling distribution in a table representing the probability distribution.
(iii) The population standard deviation is a measure of the variability of the entire population, while the mean of the sample standard deviations gives an estimation of the average variability of all possible samples.
(iv) Sample standard deviations can be good estimators of population standard deviations if the samples are representative and there is no significant bias or error in the sampling process.