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How-to guide

How to Calculate Confidence Interval: Formula, Steps & Examples

Learn how to calculate Confidence Interval — the formula explained step by step, with worked examples and a free calculator to check your answer.

By Vikram Iyer, M.Sc Mathematics · Updated Jun 2026 · 2 min read

Calculating your margin of error is straightforward once you know the Confidence Interval formula and what each input means. This guide explains the method in plain language, walks through a manual calculation, and gives worked examples you can follow — then you can do it instantly with the Confidence Interval Calculator.

What is Confidence Interval?

The Confidence Interval calculation tells you your margin of error from a few simple inputs. The figure you are solving for here is the margin of error.

The Confidence Interval formula

The core formula is:

Margin of error = Confidence level × Standard deviation ÷ √(Sample size)

Here is what each input means:

  • Sample mean — a number. Example: 100.
  • Standard deviation — a number. Example: 15.
  • Sample size — a number. Example: 30.
  • Confidence level — one of: 90% (z = 1.645), 95% (z = 1.96), 99% (z = 2.576). Example: 95% (z = 1.96).

How to calculate it step by step

  • Write down the sample mean (for example, 100).
  • Write down the standard deviation (for example, 15).
  • Write down the sample size (for example, 30).
  • Choose the confidence level (for example, 95% (z = 1.96)).
  • Apply the formula above to get your margin of error.
  • Double-check the result with the Confidence Interval Calculator.

Worked examples

Example 1

Input / OutputValue
Sample mean100
Standard deviation15
Sample size30
Confidence level95% (z = 1.96)
Margin of error5.368
Lower bound94.632
Upper bound105.368

With sample mean of 100, standard deviation of 15, sample size of 30 and confidence level of 95% (z = 1.96), the margin of error works out to 5.368.

Example 2

With sample mean of 200, standard deviation of 15, sample size of 30 and confidence level of 95% (z = 1.96), the margin of error works out to 5.368.

ResultValue
Margin of error5.368
Lower bound194.632
Upper bound205.368

Example 3

With sample mean of 50, standard deviation of 15, sample size of 30 and confidence level of 95% (z = 1.96), the margin of error works out to 5.368.

ResultValue
Margin of error5.368
Lower bound44.632
Upper bound55.368

Tips for an accurate result

  • Keep your units consistent — mixing, say, months with years or grams with kilograms is the most common source of error.
  • Round only at the very end. Rounding inputs early can shift the final answer noticeably.
  • Re-run the numbers whenever an input changes, rather than estimating from an old result.

Prefer not to do the maths by hand? — the Confidence Interval Calculator does it instantly, for free, with the formula and a worked example built in.

Continue exploring math calculators with these tools: Margin of Error Calculator, Sample Size Calculator, Coefficient of Variation Calculator, Regular Heptagon Area Calculator, Odds to Probability Calculator.

Calculators in this guide

Frequently asked questions

The formula is: Margin of error = Confidence level × Standard deviation ÷ √(Sample size). With sample mean of 100, standard deviation of 15, sample size of 30 and confidence level of 95% (z = 1.96), the margin of error works out to 5.368.

Gather each input, apply the formula step by step keeping your units consistent, and round only at the end. You can verify your answer instantly with the Confidence Interval Calculator.

It uses the standard formula with exact arithmetic, so the result is correct for the inputs you enter. Bear in mind that real-world outcomes can still differ when underlying assumptions change.

Vikram Iyer · M.Sc Mathematics

Vikram Iyer is a mathematics educator with over fifteen years of teaching experience, specialising in making quantitative concepts clear and practical for everyday use.