The GAUSS function returns the probability that a random variable, drawn from a normal distribution, will be between the mean and z standard deviations above (or below) the mean. A normal distribution is also commonly known as a Gaussian distribution, from which this function gets its name.
Parts of a GAUSS formula
||The number of standard deviations from the mean.||
- A negative z value causes GAUSS(z) to return a negative number.
- When z uses the value in another cell (e.g. "GAUSS(B2)"), the GAUSS function returns 0 if there's no data in the cell.
- Calling GAUSS(z) asks the question, "what's the probability that a random number will be between μ and the standard deviation z * σ?"
|2||=GAUSS(1)||0.3413447461||Probability that a variable falls between the mean and 1 standard deviation above the mean.|
|3||=GAUSS(-1)||-0.3413447461||Probability that a variable falls between the mean and 1 standard deviation below the mean. Note that the result is negative.|
|4||=2*GAUSS(1)||0.6826894921||Probability that a variable falls within 1 standard deviation of the mean.|
NORMDIST: The NORMDIST function returns the value of the normal distribution function (or normal cumulative distribution function) for a specified value, mean, and standard deviation.