AP Stats Sampling Methods and Design

Question 1

What is the purpose of random sampling?

Accepted Answer

To ensure every member of the population has an equal chance of being selected

Answer

To select only convenient participants

Answer

To guarantee a specific sample size

Answer

To eliminate all sampling error

Question 2

What is stratified sampling?

Accepted Answer

Dividing the population into subgroups and sampling from each proportionally

Answer

Randomly selecting from the entire population without divisions

Answer

Sampling every nth individual from a list

Answer

Selecting the most convenient participants

Question 3

What is sampling bias?

Accepted Answer

A systematic error that results in a non-representative sample

Answer

Any error that occurs during data collection

Answer

The natural variation in sample statistics

Answer

A preference for larger sample sizes

Question 4

What determines the minimum sample size needed for a study?

Accepted Answer

Desired confidence level, margin of error, and population variability

Answer

The researchers preference

Answer

The total population size only

Answer

The number of variables in the study only

Question 5

What is cluster sampling?

Accepted Answer

Dividing the population into clusters, then randomly selecting entire clusters to study

Answer

Selecting individuals who are clustered together by age

Answer

Sampling the same individuals multiple times

Answer

Choosing the largest groups for the sample

Question 6

Why is non-response bias a concern in survey research?

Accepted Answer

Non-respondents may differ systematically from respondents, skewing results

Answer

It only affects very small samples

Answer

Non-response has no impact on results

Answer

It is only a concern for telephone surveys