Population vs. Sample

Front

What is the difference between a population and a sample in statistics?

Back

A population includes all members of a defined group, while a sample is a subset of the population used to represent the group.

Front

Define 'population' in the context of statistics.

Back

Population refers to the entire group of individuals or instances about whom we hope to learn.

Front

Define 'sample' in the context of statistics.

Back

A sample is a portion or subset of a population that is used to represent the whole.

Front

In the context of surveys, what is a representative sample?

Back

A representative sample accurately reflects the characteristics of the population from which it is drawn.

Front

Why is it important to use a sample instead of a population in research?

Back

Using a sample is often more practical and cost-effective than studying an entire population, and it can still provide valid insights.

Front

What is sampling bias, and how can it affect research results?

Back

Sampling bias occurs when the sample is not representative of the population, leading to skewed or invalid results.

Front

What is a simple random sample?

Back

A simple random sample is a sampling method where each member of the population has an equal chance of being selected.

Front

What is the significance of the sample size in research?

Back

Larger sample sizes generally lead to more reliable and valid results, reducing the margin of error.

Front

How can you identify the population in a given research scenario?

Back

The population can be identified by determining the group of individuals or items that the research aims to study.

Front

What is the role of surveys in understanding populations?

Back

Surveys collect data from samples to make inferences about the larger population.