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Stats Calculator

Compute count, sum, mean, median, mode, min, max, range, variance and standard deviation from a list of numbers for data analysis and stats homework.

10 Count
#Count
10
ΣSum
34
μMean
3.4
MMedian
3
Mode
3
Min
1
Max
6
Range
5
σ²Variance
2.24
σStd. dev.
1.496662955
Σx²Sum of squares
138

About Stats Calculator

Descriptive statistics is the first step of data analysis — given a set of measurements or samples, you look at central tendency and dispersion before deciding how to model further. This tool computes eleven metrics at once: count, sum, mean, median, mode, min, max, range, variance, standard deviation and sum of squares. Enter numbers separated by commas or spaces. Everything runs locally in the browser, ideal for students checking homework, researchers scanning distributions and PMs reconciling report figures. Tip: Bookmark this tool for quick access whenever you need mathematical calculations. All computation happens locally in your browser with instant results.

Use Cases

  • Homework check — Paste exercise data to verify hand-calculated mean, variance and stddev and locate step errors.
  • Lab data scan — Quickly inspect the range and dispersion of measurements to judge instrument stability and outliers.
  • Report reconciliation — Compare mean vs median from backend exports to spot skew and outlier inflation.
  • Quality control — Track standard-deviation drift in production samples to catch process shifts early.
  • Rating summary — Use mode and median on review scores to resist extreme ratings skewing the mean.
  • A/B test quick scan — Compute mean and variance for both control and variant groups to gauge significance before running a full test.
  • Performance benchmark — Paste latency measurements to get mean, stddev and range for comparing framework or query performance.

FAQ

Why does mode show "No mode"?

When every value occurs equally often there is statistically no mode, and the tool reports so; if several values tie for most frequent, all are listed.

Is variance population or sample?

This is population variance (divided by n), suited to describing the dataset itself; for inferential work use sample variance (n-1).

Are decimals and negatives supported?

Yes. Any valid number (decimal, negative, scientific notation) is parsed; non-numeric tokens are ignored.

Is data uploaded?

No. Parsing and statistics run entirely in your browser, safe for sensitive lab or business data.

Are quantiles included?

This release focuses on eleven core metrics; quantiles are not yet provided but may be added later.

Any browser compatibility requirements?

This tool works in all modern browsers (Chrome, Firefox, Edge, Safari). No plugins or extensions required.

Can I use it offline?

After initial load, most features work offline. The core logic runs entirely in your browser with no network dependency.