Determine whether to use Pearson or Spearman correlation based on data distribution, outliers, and measurement level. Calculate both and compare for your dataset.
| 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 |
Determine whether to use Pearson or Spearman correlation based on data distribution, outliers, and measurement level. Calculate both and compare for your dataset
Each component has a specific meaning:
Note: Interpret the pearson vs spearman result against the clinical thresholds and context described above.
Enter the data distribution, outliers, measurement level for the patient or scenario you are assessing. Determine whether to use Pearson or Spearman correlation based on data distribution, outliers, and measurement level. Calculate both and compare for your dataset. Use the pearson vs spearman result to inform your clinical assessment.