.png&w=3840&q=75)
.png&w=3840&q=75)
Sample Size
Determine required sample size
How It Works
Sample size is a statistical concept that determines the number of observations that should be included in a statistical sample. It is an important aspect of any empirical study requiring inferences about a population based on a sample.
Sample size is a statistical concept that involves determining the number of observations that should be included in a statistical sample. It is an important aspect of any empirical study requiring that inferences be made about a population based on a sample. The required sample size depends on the desired confidence level, margin of error, and population proportion.
The most commonly used confidence levels are 90%, 95%, and 99%, each with their own corresponding z-scores. For a 95% confidence level, z = 1.96. When the population proportion is unknown, using 0.5 gives the most conservative (largest) sample size estimate.
Results
Enter values to see results
Quick Tips
- • Results update automatically as you type
- • Use Tab to navigate between fields
- • Press Enter to calculate