Math
Statistics Calculator
Enter numbers to get mean, median, mode, standard deviation, quartiles, and more.
Central Tendency
Mean
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Median
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Mode
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Spread
Std Dev (sample)
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Std Dev (pop)
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Variance (sample)
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Variance (pop)
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Range
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IQR
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Summary
Count (n)
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Sum
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Min
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Max
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Q1
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Q3
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Sorted Data
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Formulas
Mean (x̄)
Σxᵢ / n
Sum of all values divided by count
Sample Std Dev (s)
√[Σ(xᵢ−x̄)² / (n−1)]
Spread for a sample; divides by n−1
Pop. Std Dev (σ)
√[Σ(xᵢ−μ)² / n]
Spread for full population; divides by n
Q1
Median of lower half (excl. median)
25th percentile
Q3
Median of upper half (excl. median)
75th percentile
IQR
Q3 − Q1
Middle 50% spread; robust to outliers
Population vs Sample
Sample (s, s²)
Data is a subset of a larger group. Uses n−1 (Bessel's correction) to reduce underestimation bias.
Population (σ, σ²)
Data represents every member of the group. Uses n exactly.
When n > 30, the difference is negligible. Default to sample std dev in most real-world cases.
Interpreting Results
Mean vs Median: If they differ greatly, data is skewed or has outliers. Median is more robust.
Std Dev: ~68% of normally distributed data falls within 1σ of the mean; ~95% within 2σ.
Outlier rule: Values below Q1 − 1.5×IQR or above Q3 + 1.5×IQR are typically flagged as outliers.