Statistics

Normal Mean Confidence Interval Calculator

Find a mean interval using a supplied critical z value.

Data stays on this deviceConvention explained below
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Data explorer

Check the dataset and sample convention before interpreting results.

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Use the Calculate button to see your result.

Review the method below for assumptions and conventions.

How to use this tool

  1. Enter sample mean, known population standard deviation, sample size, critical z value.
  2. Select Calculate to view the result.
  3. Check the method and assumptions below before using the result.

Input reference and sample values

Use the units and choices shown for each field. Sample values are provided for practice, not as recommendations.

InputFormat and unitsSample
Sample meanNumeric value.50
Known population standard deviationNumeric value. Must be greater than zero.10
Sample sizeWhole numbers only. Minimum: 1. Maximum: 1000000.100
Critical z valueNumeric value. Must be greater than zero.1.95996398

Result for these sample inputs

48.04003601546 to 51.95996398454
Margin of error
1.95996398

Select Try the example in the form to load these values and calculate them again. This replaces the current form inputs. Compare the result with the method and worked explanation below.

The method, explained

Margin = z × population SD/√n. Interval = mean ± margin.

A WORKED EXAMPLE

Using sample mean = 50, known population standard deviation = 10, sample size = 100, critical z value = 1.95996398454, the result is 48.04003601546 to 51.95996398454. Change these example inputs to match your task; use the method above to check each step.

What to keep in mind

Use the correct critical value and sampling assumptions. This is not a t interval for unknown population variance. A descriptive or probability calculation under the stated assumptions. Check the sample design and model before interpreting results.

Methodology maintained by ClarityKit. How these tools are built and checked.