Paste numbers separated by commas, spaces, or newlines. Get mean, median, mode, outliers, a sorted list, and a histogram.
We parse your numbers and compute descriptive statistics. Outliers are detected using the IQR rule: values below Q1 − 1.5×IQR or above Q3 + 1.5×IQR are flagged. The histogram uses automatic binning (Sturges’ rule) unless you override it with the slider.
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Use the median for skewed data or when outliers exist; it’s robust to extreme values. Use the mean for roughly symmetric distributions without heavy tails.
Data can be bimodal or multimodal. The calculator reports the set of most frequent values; examine histograms to understand multiple peaks.
Outliers strongly pull the mean but have limited impact on the median and none on the mode. Consider trimming or winsorizing if appropriate.
For descriptive summaries, mean/median/mode share definitions; inferential formulas (e.g., variance) differ between population and sample.