Sample size (n):
Conversion steps:
n = N / (1 + N × e2)
n = 400 / (1 + 400 × (0.05)2)
n = 400 / (1 + 400 × 0.0025)
n = 400 / (1 + 1)
n = 400 / (2)
n = 200
∴ Sample size (n) = 200
Related Tools
Slovin's Formula is a statistical equation used to estimate the ideal sample size for surveys or research studies when the population size is known. It helps ensure that your data collection is both cost-effective and statistically accurate, especially for large populations where surveying everyone is impractical.
This method is commonly used in fields such as education, marketing, business, and social sciences where sample-based surveys are required.
The formula is:
n = N / (1 + N × e²)
Where:
If your target population is 10,000 people and you accept a margin of error of 5% (0.05):
Using Slovin’s Formula:
n = 10000 / (1 + 10000 × 0.05²)
n = 10000 / (1 + 10000 × 0.0025)
n = 10000 / (1 + 25)
n = 10000 / 26
n ≈ 385
You would need to survey approximately 385 individuals to get reliable survey results.
It is used to determine the appropriate sample size needed for research when the population is known and a margin of error is set.
A 5% (0.05) margin of error is commonly used for 95% confidence level. Lower margins increase accuracy but require a larger sample size.
Yes, but for very small populations, it’s often better to survey everyone or use exact statistical methods instead.
Slovin’s Formula requires a known population. If unknown, use other statistical sampling methods like Cochran’s formula.