Chapter 10: Sampling

Front

What is a biased sample?

Back

A biased sample is a sample that does not accurately represent the population from which it is drawn, often due to the method of selection.

Front

What is a convenience sample?

Back

A convenience sample is a type of non-probability sampling where the sample is taken from a group that is easily accessible, which may lead to bias.

Front

What is a volunteer sample?

Back

A volunteer sample is a sampling method where participants self-select to be part of the study, which can introduce bias as only those interested may participate.

Front

What is a random sample?

Back

A random sample is a sampling method where every member of the population has an equal chance of being selected, reducing bias.

Front

What is a systematic sample?

Back

A systematic sample is a sampling method where every nth member of the population is selected, providing a structured approach to sampling.

Front

What is a stratified sample?

Back

A stratified sample is a sampling method that involves dividing the population into subgroups (strata) and randomly selecting samples from each stratum.

Front

What is simple random sampling?

Back

Simple random sampling is a method where each member of the population has an equal chance of being selected, often achieved through random number generation.

Front

Why is it important to have a representative sample?

Back

A representative sample accurately reflects the characteristics of the population, allowing for valid conclusions to be drawn from the data.

Front

What is the difference between qualitative and quantitative data?

Back

Qualitative data describes characteristics or qualities, while quantitative data involves numerical measurements and can be analyzed statistically.

Front

What is sampling error?

Back

Sampling error is the difference between the sample statistic and the actual population parameter, which can occur due to the sample not being representative.