Statistical Summary Calculator
Overview
The Statistical Summary Calculator computes comprehensive descriptive statistics for numeric data with automatic outlier detection and box plot visualization. Paste your numbers and instantly see measures of central tendency (mean, median, mode), variability (standard deviation, IQR), quartiles, and visual distribution through box plots. Perfect for quick data exploration and understanding your dataset’s characteristics.
Tips
- If mean and median are very different, your data is likely skewed - the median is more robust to outliers
- Use the IQR and box plot to identify outliers, but investigate them rather than automatically removing them - they might be real extreme values
- A large standard deviation relative to the mean indicates high variability; low standard deviation suggests consistency
- When mode shows “No mode”, all values appear equally often, which is common in continuous measurements
- The box plot’s whiskers show you the data range excluding outliers - if they’re very long, your data has high spread
- Compare the distance from Q1 to median versus median to Q3 to assess symmetry; equal distances suggest symmetric distribution
- For quality control, track how statistics change over time - increasing standard deviation may indicate process instability