Sampling Lesson.

What is a sample in research?

• A complete set of data from a study.

• A subset of a population used to collect data.

• The entire group of individuals being studied.

• A collection of variables from a study.

Which method ensures every member of the population has an equal chance of being selected for a sample?

• Stratified sampling

• Cluster sampling

• Random sampling

• Systematic sampling

What is the key difference between stratified sampling and cluster sampling?

• Stratified sampling divides the population into clusters, while cluster sampling divides it into subgroups.

• In stratified sampling, subgroups have similar characteristics, while in cluster sampling, subgroups are intended to vary in characteristics.

• Cluster sampling requires numbering every member of the population, unlike stratified sampling.

• Stratified sampling is used for large geographic areas, while cluster sampling is for smaller populations.

A researcher wants to survey 50 residents from an apartment complex with 1000 units. They number each unit from 1 to 1000, select a random starting number (e.g., 234), and then select every 20th unit after that. What sampling technique is being used?

• Random sampling

• Stratified sampling

• Cluster sampling

• Systematic sampling

What is a characteristic of a convenience sample?

• Every member of the population has an equal chance of selection.

• The sample is developed from members that are easy to get or convenient.

• The population is divided into subgroups with similar characteristics.

• The sample is selected by randomly choosing entire groups from the population.