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Estimate required sample size for proportions or means using confidence level, margin of error, and optional finite population correction
Execution
Fill in the form, run the tool, and review the result in one place.
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Tool usage guide
The Sample Size Calculator helps you determine the statistically significant number of participants needed for your research, surveys, or experiments. By inputting your desired confidence level and margin of error, you can ensure your data collection is robust and reliable.
Background
Planning a customer satisfaction survey for a large user base.
Problem
Needs to know how many users to contact to achieve a 95% confidence level with a 5% margin of error.
How to use
Set mode to 'Proportion', confidence level to 95%, and margin of error to 0.05.
calculatorMode: proportion, confidenceLevel: 0.95, marginOfError: 0.05Outcome
The tool recommends a sample size of 385 participants.
Background
Auditing a specific batch of 500 manufactured parts.
Problem
Needs to determine the sample size for an inspection with a 2-unit margin of error.
How to use
Set mode to 'Mean', confidence level to 95%, margin of error to 2, and population size to 500.
calculatorMode: mean, confidenceLevel: 0.95, marginOfError: 2, populationSize: 500It represents how certain you want to be that the true population parameter falls within your margin of error, typically set at 95%.
It is the range of values above and below your sample result that you expect the true population value to fall within.
Use this when your total population is small and known, as it allows for a smaller sample size while maintaining the same level of accuracy.
Proportion mode is for binary outcomes (e.g., yes/no), while Mean mode is for measuring averages of continuous variables.
Calculations often result in fractions; always round up to the nearest whole number to ensure your sample size meets the minimum statistical requirement.
Outcome
The tool provides an adjusted sample size of 125 units, accounting for the finite population.