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Statistics Calculator

Compute descriptive statistics and z-scores from your dataset. Enter numbers separated by commas, spaces, or new lines.

Results

Count (n)
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Sum
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Mean
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Median
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Mode
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Min
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Max
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Range
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Variance
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Std Dev
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Z-Score
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About Statistics Calculator

This tool computes core descriptive statistics from a list of numbers, including central tendency (mean, median, mode), spread (variance, standard deviation, range), and z-score for any chosen value.

Computed Values

  • Mean: average of all values
  • Median: middle value when sorted
  • Mode: most frequently occurring value(s)
  • Variance & Std Dev: measure of spread (population or sample)
  • Range: max āˆ’ min
  • Z-score: how many standard deviations a value is from the mean

How to Use

  1. Enter your numbers separated by commas or new lines in the input field.
  2. Choose Population or Sample for variance/std deviation.
  3. Click Calculate ā€” all statistics appear instantly.
  4. Optionally enter a specific value to compute its z-score.

How It Works

The tool parses the input, sorts the numeric array, then calculates each statistic. Population variance divides by n; sample variance divides by nāˆ’1 (Bessel's correction) to produce an unbiased estimate of the population variance.

Example

Dataset: 4, 8, 15, 16, 23, 42
Mean = 18, Median = 15.5, Mode = none, Range = 38, Std Dev (pop) ā‰ˆ 12.47.

Frequently Asked Questions

Use population variance when your dataset contains every member of the group you're analyzing. Use sample variance when your dataset is a subset (sample) of a larger population ā€” the nāˆ’1 correction produces a less biased estimate.
A z-score tells you how many standard deviations a value is from the mean. A z-score of 0 means exactly average. A z-score of +2 means 2 standard deviations above the mean. Useful for comparing values across different datasets.
If more than one value appears with the same highest frequency, all of them are reported as modes. If all values are unique (no repeats), the dataset has no mode.
No. All calculations happen entirely in your browser. Your dataset never leaves your device.