Light

10% Rule

Definition

The 10% rule states that a sample size should not exceed 10% of the population when using sampling methods like simple random sampling. This helps ensure that the sample is representative of the population.

Analogy

Imagine you have a bag of different flavored candies, and you want to know what percentage are strawberry-flavored. To get an accurate estimate, you decide to randomly select some candies from the bag, but you make sure not to take more than 10% of the total candies.

Related terms

Sampling Frame: A sampling frame is a list or representation of all individuals in a population from which a sample will be drawn.

Margin of Error: The margin of error is a measure of how much the results from a sample may differ from the true population value. It accounts for variability and uncertainty in statistical estimates.

Stratified Sampling: Stratified sampling involves dividing a population into subgroups (strata) based on certain characteristics and then selecting samples from each stratum proportionally.