Sample Count for Estimating Mean
Plan sample count from assumed population deviation and error wey you want.
Your numbers
Sample count wey you need
Normal approximation for simple random sampling. Assumed deviation must come from evidence wey relate to the population.
Compare scenarios
You fit keep up to three snapshots for this tab. Loading one go replace the present inputs.
Formula
Use n₀ = (zσ/E)². σ na assumed population deviation, E na di half-width wey you want, and z na di two-sided normal critical value. For finite population N, use n = n₀/[1+(n₀−1)/N]; otherwise keep di uncorrected value. Round up to whole sample count.
Plan sample count from assumed population deviation and error wey you want.
Example wey show the calculation
- Population standard deviation wey you assume
- 10
- Half-width wey you want for interval
- 2
- Di confidence level (%)
- 95
- Finite population count; zero mean unlimited
- 0
- Sample count wey you need
- 97
Where e fit work and limits
Normal approximation for simple random sampling. Assumed deviation must come from evidence wey relate to the population.
We check inputs for missing values and allowed ranges. Result wey pass the finite numeric range no go show. Rounding affect wetin display, while calculation use the model numeric precision.
Check your units and assumptions before you rely on result. Changing label no convert currency or physical unit.
Version of di formula: f2b649c142e4 · Example don get check: