Random Sampling

Front

What is random sampling?

Back

Random sampling is a technique used to select a subset of individuals from a larger population, where each individual has an equal chance of being chosen.

Front

Why is random sampling important?

Back

Random sampling is important because it helps ensure that the sample is representative of the population, reducing bias and allowing for more accurate conclusions.

Front

What is a biased sample?

Back

A biased sample is one that does not accurately represent the population from which it is drawn, often due to non-random selection methods.

Front

What is a representative sample?

Back

A representative sample is a subset of a population that accurately reflects the characteristics of the larger group.

Front

What is systematic sampling?

Back

Systematic sampling is a method where you select every nth individual from a list or sequence, which can introduce bias if there is a pattern in the population.

Front

What is convenience sampling?

Back

Convenience sampling is a non-random sampling method where individuals are selected based on their easy availability, which can lead to biased results.

Front

What is stratified sampling?

Back

Stratified sampling involves dividing the population into subgroups (strata) and randomly sampling from each stratum to ensure representation.

Front

What is the difference between qualitative and quantitative data?

Back

Qualitative data describes characteristics or qualities (e.g., colors, names), while quantitative data involves numerical values (e.g., height, age).

Front

What is the purpose of polling in research?

Back

Polling is used to gather information or opinions from a sample of individuals to make inferences about the larger population.

Front

What does it mean for a sample to be large enough?

Back

A sample is considered large enough if it provides sufficient data to make reliable estimates about the population, reducing the margin of error.