What is the Sample Size?
The sample size is the number of individuals or items you select from a larger population to represent it in a study. A good sample size is big enough to be statistically meaningful but small enough to be practical to work with. Think of it as a small, representative group you survey to learn about everyone.
What is the Total Population?
The total population is the entire group you want to draw conclusions about. It’s the full number of people, objects, or data points you are studying. For example, if you want to know the average height of students in your school, the total population is every single student at that school.
What is the Margin of Error?
The margin of error tells you how confident you can be that your survey results are accurate. It’s a percentage that shows how much your sample’s results might differ from the actual population’s results. A smaller margin of error means you need a larger sample size to be more precise.
What is Slovin's Formula?
There are various ways to compute the sample size, and one way to do so is using Slovin’s formula. It is a simple equation used to calculate the required sample size (n) when you know the total population size (N) and the desired margin of error (e). It’s particularly useful when you have a finite population and want to find a representative sample without complex statistical software.
The formula is: n = N / (1 + N e2)
Slovin's Calculator
Calculate the required sample size for a population.
Required Sample Size (n):