Statistics Sampling Methods & Survey Design

Question 1

Which sampling method assigns each member of the population a unique number and selects individuals using a random number generator?

Accepted Answer

Simple random sampling

Answer

Simple random sampling gives every member of the population an equal chance of selection by using random number generation or a random number table.

Question 2

In systematic sampling, a researcher has a population of 800 and wants a sample of 40. What is the correct sampling interval?

Accepted Answer

20

Answer

The sampling interval is calculated by dividing the population size by the desired sample size: 800 ÷ 40 = 20.

Question 3

A researcher divides a population by income level and gender, then randomly selects individuals from each group. This technique is known as:

Accepted Answer

Stratified sampling

Answer

Stratified sampling divides the population into homogeneous subgroups (strata) and then randomly samples from each stratum.

Question 4

Which sampling method selects naturally occurring groups as the sampling unit rather than selecting individuals directly?

Accepted Answer

Cluster sampling

Answer

Cluster sampling selects entire pre-existing groups (clusters) such as classrooms or zip codes, then surveys all or a sample of members within those clusters.

Question 5

Which sampling approach is most susceptible to producing a biased, non-representative sample?

Accepted Answer

Convenience sampling

Answer

Convenience sampling selects individuals who are easiest to reach, which typically results in a sample that does not represent the broader population.

Statistics Practice Test

Statistics Practice Test

Statistics Sampling Methods & Survey Design