Statistics · Sampling & confidence

Confidence Interval for a Mean Calculator

Estimate a population mean with a t interval from sample mean, sample standard deviation, and sample size.

Statistics · Sampling & confidence

Enter your statistical inputs

Private in-browser calculation · explicit assumptions

Enter plain numbers without measurement units. Datasets accept commas, spaces, semicolons, or line breaks and are limited to 10,000 values. Results stay in this browser.

Statistics result

Enter valid values to see the result.

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Quick guide

How to use this calculator

  1. Enter the observations, probabilities, model parameters, or summary statistics requested by the visible labels.
  2. Keep every value on the same scale and confirm that the selected sampling relationship, distribution, and tail convention match the question you are investigating.
  3. Read the result together with its assumptions and interpretation. Statistical output summarizes uncertainty under a model; it does not repair biased data or establish causation.

Calculation method

How the confidence interval for a mean calculator works

x̄±t* s/√n.

Repeated intervals produced by this method achieve the selected long-run coverage when assumptions hold.

Worked example

Confidence Interval for a Mean example

Mean 50, s=10, n=25 at 95% gives an interval of roughly 45.87 to 54.13.

x̄±t* s/√n.

Supported inputs

Precision and limits

Model and design

Observations should be independent and the sampling distribution of the mean should be adequately modeled by the t procedure.

Numerical scope

Inputs use double-precision numerical methods with guarded domains. Datasets accept up to 10,000 finite plain-decimal values. Extremely large parameters or probabilities deep in a numerical tail may require specialist statistical software.

Interpretation

Repeated intervals produced by this method achieve the selected long-run coverage when assumptions hold.

Decision boundary

The calculator does not validate how data were collected, diagnose dependence or bias, choose a scientifically meaningful effect, or replace review by a qualified statistician for consequential research, medical, regulatory, safety, or policy decisions.

Privacy

Entered values and calculated results stay in this browser and are not sent to an analytics service.

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