Statistical

NORM.DIST Formula

NORM.DIST returns the normal distribution for a specified mean and standard deviation. With cumulative=TRUE, it returns the probability that a value is less than or equal to x (the CDF). With cumulative=FALSE, it returns the probability density at x (the PDF). Use it for probability calculations, quality control, and statistical modeling.

Syntax

NORM.DIST(x, mean, standard_dev, cumulative)
ParameterDescription
x Parameter of the NORM.DIST function.
mean Parameter of the NORM.DIST function.
standard_dev Parameter of the NORM.DIST function.
cumulative Parameter of the NORM.DIST function.
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Examples

Probability of scoring below 80

Formula
=NORM.DIST(80, 72, 8, TRUE)
Returns 0.841 — there is an 84.1% probability of scoring below 80 if scores are normally distributed with mean 72 and std dev 8.

Probability above a threshold

Formula
=1 - NORM.DIST(100, 85, 12, TRUE)
Returns the probability of exceeding 100. Since NORM.DIST gives P(X<=100), subtracting from 1 gives P(X>100).

PDF value

Formula
=NORM.DIST(0, 0, 1, FALSE)
Returns 0.399 — the height of the standard normal bell curve at x=0 (its peak). This is the probability density, not a probability.

Common Errors

#NUM!

Standard deviation must be positive (greater than 0).

#VALUE!

Non-numeric arguments or cumulative is not TRUE/FALSE.

Tips

CDF vs PDF

TRUE (cumulative) gives the area under the curve to the left of x — a probability. FALSE gives the curve height at x — a density, not directly a probability.

For between-values probability

P(a < X < b) = NORM.DIST(b, mean, stdev, TRUE) - NORM.DIST(a, mean, stdev, TRUE). Subtract the CDFs of the two bounds.

Standard normal shortcut

For mean=0 and stdev=1, use NORM.S.DIST instead. It only needs the z-value and cumulative arguments.

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