I a Simple Random Sample Assumes That Each Item or Person

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.