i. A simple random sample assumes that each item or person in the population has an equal chance of being included. ii. We can expect some difference between sample statistics and the corresponding population parameters. This difference is called the sampling error.
iii. A sampling distribution of the means is a probability distribution consisting of a list of all possible sample means of a given sample size selected from a population and the probability of occurrence associated with each sample mean.
A) (i), (ii), and (iii) are all correct statements.
B) (i) and (ii) are correct statements but not (iii).
C) (i) and (iii) are correct statements but not (ii).
D) (ii) and (iii) are correct statements but not (i).
E) (i), (ii), and (iii) are all false statements.

Question

Quizplus · Accepted Answer

All three statements are correct. The first statement defines a simple random sample, the second statement acknowledges the presence of sampling error, and the third statement describes a sampling distribution of the means.

I a Simple Random Sample Assumes That Each Item or Person