i. If the sample size keeps getting larger and larger and finally equals the size of the population, there would be no error in predicting the population mean because the sample size and the size of the population would be the same.
ii. A simple random sample assumes that each item or person in the population has an equal chance of being included.
Iii) We can expect some difference between sample statistics and the corresponding population parameters. This difference is called the sampling error.
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) All statements are false

Question

i. If the sample size keeps getting larger and larger and finally equals the size of the population, there would be no error in predicting the population mean because the sample size and the size of the population would be the same. 
ii. A simple random sample assumes that each item or person in the population has an equal chance of being included.
Iii) We can expect some difference between sample statistics and the corresponding population parameters. This difference is called the sampling error.
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) All statements are false

Quizplus · Accepted Answer

(i), (ii), and (iii) are all correct statements because they are all true statements about sampling.

I If the Sample Size Keeps Getting Larger and Larger