Calculate the probability of a standard normal population member falling between the mean and standard deviations.

`GAUSS(z)`

- z - a number

`=GAUSS(2)`

The GAUSS function in Sourcetable returns the probability that a member of a standard normal population will fall between the mean and the provided standard deviation from the mean. For example, this would return the probability that a member of a standard normal population would fall between the mean and 2 standard deviations from the mean.

`=GAUSS(-1)`

The GAUSS Function is useful when performing statistical analysis and calculating probabilities. For example, if a sample population has a mean of 0 and a standard deviation of 1, and would return the probability that a member of the population would be less than -1.

`=GAUSS(3)`

The GAUSS Function is also useful when calculating z-scores. A z-score is a measure of how many standard deviations a value is from the mean. For example, if a sample population has a mean of 5 and a standard deviation of 2, and would return the probability that a member of the population would have a z-score of 3.

`=GAUSS(2)`

The GAUSS Function is also useful when calculating confidence intervals. For example, if a sample population has a mean of 10 and a standard deviation of 4, and would return the probability that a member of the population would have a confidence interval of 10 Â± 2.

The GAUSS function is used to calculate the probability of a standard normal population member falling between a mean and its standard deviation. It requires a numerical argument to work.

- The GAUSS function calculates the probability that a standard normal population will fall between the mean and a specified z-value from the mean, and returns a number as its argument.
- The number returned by the GAUSS function is the probability.

The GAUSS function is a mathematical function used to calculate the probability that a member of a standard normal population will fall between the mean and the z-standard deviation from the mean.

The argument required for the GAUSS function is z, which is a number.

- Determine the z-value which is the number of standard deviations from the mean.
- Input the z-value into the GAUSS function.
- Calculate the probability that a member of a standard normal population will fall between the mean and the z-standard deviation from the mean.