Sampling Techniques and Methods

Front

What is an experiment in the context of sampling techniques?

Back

An experiment is a study in which the researcher has control over the environment and manipulates one or more variables to observe the effect on a response variable.

Front

Define Simple Random Sampling.

Back

Simple Random Sampling is a sampling method where every possible group of units of the required size has the same chance of being selected as any other sample of the same size.

Front

What is Convenience Sampling?

Back

Convenience Sampling is a non-probability sampling technique where the sample is taken from a group of people easy to reach, often leading to biased results.

Front

Explain Stratified Sampling.

Back

Stratified Sampling is a method where the population is divided into subgroups (strata) that share similar characteristics, and random samples are taken from each stratum.

Front

What is Cluster Sampling?

Back

Cluster Sampling is a sampling technique where the population is divided into clusters, usually geographically, and entire clusters are randomly selected.

Front

Define Systematic Sampling.

Back

Systematic Sampling is a method where you select every nth individual from a list or sequence after a random starting point.

Front

What is the difference between a sample and a population?

Back

A population includes all members of a specified group, while a sample is a subset of the population selected for analysis.

Front

What is a biased sample?

Back

A biased sample is one that does not accurately represent the population, often due to the method of selection.

Front

What is the purpose of using random sampling?

Back

The purpose of random sampling is to ensure that every individual has an equal chance of being selected, which helps to eliminate bias.

Front

Explain the term 'sampling frame'.

Back

A sampling frame is a list or database from which a sample is drawn, representing the population.