Enter a dataset to compute comprehensive descriptive statistics: mean, median, mode, standard deviation, variance, quartiles, IQR, skewness, kurtosis, and outliers.
| Statistic | Formula |
|---|---|
| Mean | Σxᵢ / n |
| Variance (pop.) | Σ(xᵢ−μ)² / n |
| Variance (sample) | Σ(xᵢ−x̄)² / (n−1) |
| Std Dev (σ) | √(population variance) |
| IQR | Q3 − Q1 |
| Outlier fences | Q1 − 1.5·IQR, Q3 + 1.5·IQR |
| Statistic | Value |
|---|---|
| Count (n) | 8 |
| Sum | 40 |
| Minimum | 2 |
| Maximum | 9 |
| Mean (x̄) | 5 |
| Median | 4.5 |
| Mode | 4 |
| Range | 7 |
| Sum of Squares | 32 |
| Variance (pop. σ²) | 4 |
| Variance (sample s²) | 4.57142857 |
| Std Dev (pop. σ) | 2 |
| Std Dev (sample s) | 2.13808994 |
| Coeff. of Variation | 42.76179871% |
| Q1 (25th pct) | 4 |
| Q2 / Median | 4.5 |
| Q3 (75th pct) | 6 |
| IQR | 2 |
| Lower Fence | 1 |
| Upper Fence | 9 |
| Skewness | 0.81848755 |
| Excess Kurtosis | 0.940625 |
| Outliers | None |