The Excel CONFIDENCE.NORM function returns the half-width of a confidence interval for a population mean, using the normal distribution. Add and subtract it from the sample mean to get the interval's bounds.
Syntax
| Argument | Description | |
|---|---|---|
alpha | Required | The significance level. For a 95% confidence interval use 0.05; for 99% use 0.01. |
standard_dev | Required | The population standard deviation (assumed known). |
size | Required | The sample size. |
How to use it
CONFIDENCE.NORM returns the margin of error — half the total width of the confidence interval. Use it when the population standard deviation is known and the sample is reasonably large.
To build the interval, take your sample mean and go ± this value: mean - CONFIDENCE.NORM(...) to mean + CONFIDENCE.NORM(...). A smaller alpha (higher confidence) or smaller sample widens the margin.
Known vs. estimated σ: use CONFIDENCE.NORM when the standard deviation is known (normal distribution). When you only have the sample standard deviation and a small sample, use CONFIDENCE.T instead.
Try it: interactive demo
Pick a CONFIDENCE.NORM example to see the formula and its result.
Practice workbook
Frequently asked questions
What does CONFIDENCE.NORM actually return?
What alpha gives a 95% confidence interval?
alpha = 0.05 for 95% confidence, 0.01 for 99%, and 0.10 for 90%. Alpha is 1 minus the confidence level.When should I use CONFIDENCE.T instead?
CONFIDENCE.T when the population standard deviation is unknown and you're working from a sample standard deviation, especially with small samples. CONFIDENCE.NORM assumes σ is known.Is CONFIDENCE.NORM the same as the old CONFIDENCE?
CONFIDENCE function used the normal distribution, so CONFIDENCE.NORM is its direct modern replacement.Master functions like this in one day
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