Sampling Techniques

Front

What is a Cluster Sample?

Back

A sampling technique where the population is divided into clusters (groups), and a whole cluster is randomly selected to represent the population.

Front

What is a Simple Random Sample?

Back

A sampling method where every member of the population has an equal chance of being selected.

Front

What is a Stratified Random Sample?

Back

A sampling technique that involves dividing the population into subgroups (strata) and randomly selecting samples from each stratum.

Front

What is a Convenience Sample?

Back

A non-random sampling method where samples are taken from a group that is easily accessible.

Front

What is Systematic Sampling?

Back

A sampling method where you select every nth member from a list of the population.

Front

What is the importance of a representative sample?

Back

A representative sample accurately reflects the characteristics of the population, leading to valid conclusions.

Front

What is the difference between qualitative and quantitative data?

Back

Qualitative data describes characteristics or qualities, while quantitative data involves numerical measurements.

Front

What is sampling bias?

Back

Sampling bias occurs when certain members of the population are systematically excluded from the sample, leading to unrepresentative results.

Front

What is the purpose of using sampling techniques?

Back

Sampling techniques are used to gather data from a subset of a population to make inferences about the entire population.

Front

True or False: All samples lead to a good prediction about an entire population.

Back

False. Not all samples are representative, which can lead to inaccurate predictions.