Sampling Methods Practice

Front

What is a simple random sample?

Back

A sampling method where every individual has an equal chance of being selected. For example, assigning numbers to items and using a random number generator to select samples.

Front

Define systematic sampling.

Back

A sampling method where every nth individual is selected from a list or queue. For example, interviewing every 10th student entering a school.

Front

What is cluster sampling?

Back

A sampling technique where the population is divided into clusters, and entire clusters are randomly selected. For example, surveying all employees in randomly chosen schools.

Front

Explain stratified sampling.

Back

A method where the population is divided into subgroups (strata) and random samples are taken from each stratum. For example, picking 3 students from each class period.

Front

What is convenience sampling?

Back

A non-random sampling method where samples are taken from a group that is easily accessible. For example, surveying friends or people nearby.

Front

Define voluntary response sampling.

Back

A sampling method where individuals choose to participate, often leading to biased results. For example, online surveys where anyone can respond.

Front

What is the purpose of using sampling methods?

Back

To gather data from a subset of a population to make inferences about the whole population without surveying everyone.

Front

What is the difference between qualitative and quantitative sampling?

Back

Qualitative sampling focuses on understanding characteristics and opinions, while quantitative sampling focuses on numerical data and statistics.

Front

What is a sampling frame?

Back

A list or database from which a sample is drawn. It should ideally include all members of the population.

Front

Explain the concept of bias in sampling.

Back

Bias occurs when certain members of the population are systematically favored over others in the selection process, leading to unrepresentative samples.