Simple random sample

Definition

A simple random sample is a subset of a statistical population where each member has an equal chance of being chosen. It is a fundamental sampling method used to avoid bias in data collection.

5 Must Know Facts For Your Next Test

1. Each member of the population has an equal probability of selection.
2. Simple random sampling can be performed using methods like lottery or random number generators.
3. It ensures that the sample represents the population well, reducing bias.
4. This method is crucial for the validity of statistical inference.
5. It's often contrasted with stratified sampling and systematic sampling, which involve more complex selection processes.

Review Questions

• What does simple random sampling aim to achieve in data collection?
• How can you ensure that each member of the population has an equal chance of being selected?
• Why is simple random sampling important for statistical inference?

Related terms

Stratified Sampling: A method where the population is divided into subgroups (strata) and samples are taken from each strata.

Systematic Sampling: A method where every nth member of the population is selected after a randomly chosen starting point.

Bias: A systematic error that causes some members of the population to be more likely included in the sample than others.