Statistical

NORM.S.DIST Formula

NORM.S.DIST returns the standard normal distribution (mean=0, standard deviation=1) for a given z-value. With cumulative=TRUE, it returns the probability of a value being less than or equal to z. Use it for z-table lookups, hypothesis testing, and converting standardized values to probabilities.

Syntax

NORM.S.DIST(z, cumulative)
ParameterDescription
z Parameter of the NORM.S.DIST function.
cumulative Parameter of the NORM.S.DIST function.
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Examples

Z-table lookup

Formula
=NORM.S.DIST(1.96, TRUE)
Returns 0.975 — the classic z-table value. 97.5% of the standard normal distribution falls below z=1.96.

P-value for z-test

Formula
=2 * (1 - NORM.S.DIST(ABS(2.15), TRUE))
Returns the two-tailed p-value for a z-score of 2.15. Result of ~0.032 means the result is statistically significant at the 5% level.

Standard normal PDF

Formula
=NORM.S.DIST(0, FALSE)
Returns 0.3989 — the peak height of the standard normal bell curve, which occurs at z=0.

Common Errors

#VALUE!

Non-numeric z value or cumulative is not TRUE/FALSE.

Tips

Replaces z-tables

NORM.S.DIST with cumulative=TRUE gives you the same values as printed z-tables, but with more precision and no need to look things up.

Two-tailed tests

For a two-tailed p-value: =2*(1-NORM.S.DIST(ABS(z),TRUE)). For one-tailed: =1-NORM.S.DIST(z,TRUE) for the upper tail.

Shortcut for NORM.DIST with mean=0, stdev=1

NORM.S.DIST(z, TRUE) is equivalent to NORM.DIST(z, 0, 1, TRUE) but shorter to type.

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