Lesson 4.2 - Sampling Methods and bias

Front

What is a sampling method?

Back

A sampling method is a technique used to select individuals or items from a larger population to gather data or make inferences about that population.

Front

Define Simple Random Sampling.

Back

Simple Random Sampling is a method where every individual in the population has an equal chance of being selected, often achieved through random selection methods like drawing names from a hat.

Front

What is Systematic Sampling?

Back

Systematic Sampling involves selecting every nth individual from a list or sequence, ensuring a uniform distribution of samples.

Front

Explain Convenience Sampling.

Back

Convenience Sampling is a non-probability sampling method where samples are taken from a group that is easily accessible, which may lead to bias.

Front

What is Voluntary Response Sampling?

Back

Voluntary Response Sampling occurs when individuals choose to participate in a survey or study, often leading to self-selection bias.

Front

What is the main disadvantage of Convenience Sampling?

Back

The main disadvantage is that it may not accurately represent the entire population, leading to biased results.

Front

How does Systematic Sampling differ from Simple Random Sampling?

Back

Systematic Sampling selects individuals at regular intervals, while Simple Random Sampling gives each individual an equal chance of selection without a fixed pattern.

Front

What is the purpose of using Random Sampling methods?

Back

The purpose is to obtain a representative sample that can provide valid insights about the entire population.

Front

Give an example of when to use Stratified Sampling.

Back

Stratified Sampling is used when the population can be divided into distinct subgroups (strata), and you want to ensure representation from each subgroup.

Front

What is Bias in Sampling?

Back

Bias in Sampling refers to systematic errors that lead to an unrepresentative sample, affecting the validity of the results.