Allocate sample size across strata using proportional, equal, or optimal (Neyman) allocation. Compare variance reduction relative to simple random sampling.
| Constant | Symbol | Value |
|---|---|---|
| Speed of light | c | 2.99792458×10⁸ |
| Planck's constant | h | 6.62607015×10⁻³‴ |
| Boltzmann constant | kʙ | 1.380649×10⁻²³ |
| Avogadro's number | Nₐ | 6.02214076×10²³ |
| Gravitational constant | G | 6.6743×10⁻¹¹ |
| Gas constant | R | 8.31446 |
| Elementary charge | e | 1.602176634×10⁻¹⁹ |
| Electron mass | mₑ | 9.1093837015×10⁻³¹ |
| Proton mass | mₚ | 1.67262192369×10⁻²⁷ |
| Fine-structure constant | α | 7.2973525693×10⁻³ |
Allocate sample size across strata using proportional, equal, or optimal (Neyman) allocation. Compare variance reduction relative to simple random sampling
Each component has a specific meaning:
Note: Interpret the stratified sampling result against the clinical thresholds and context described above.
Enter the strata for the patient or scenario you are assessing. Allocate sample size across strata using proportional, equal, or optimal (Neyman) allocation. Compare variance reduction relative to simple random sampling. Use the stratified sampling result to inform your clinical assessment.