Deck 7: Sample Size

Question 1

How do statisticians define precision?

A) The extent to which the same results would be obtained if another random sample were drawn from the same population
B) A sample which shows least sampling error
C) A large sample size that yields more accuracy of results
D) The extent to which sampling errors can be evaluated with inferential statistics

Answer 1

A

Question 2

How does a researcher increase precision?

A) By decreasing the sample size
B) By using a random sampling method
C) By increasing the sample size
D) By using an unbiased sampling method

Answer 2

C

Question 3

Which of the two studies shows diminished returns in terms of increasing precision?

A) By adding 20 individuals to a sample of 500
B) By adding 20 individuals to a sample of 1,000

Answer 3

B

Question 4

When a small difference is anticipated, a smaller sample size should be used.

Question 5

When a large variation of answers is expected, the research should use the following:

A) A large sample
B) A small sample

Question 6

only large samples can identify large group differences.

Question 7

For a population with very limited variability, which of the following is true?

A) Only a large sample size can yield precise results
B) A small sample size can yield precise results

Question 8

using a large sample corrects for sampling bias.

Question 9

If a rare phenomenon is expected, one should use

A) A small sample
B) A large sample