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/** * The [Z-Score, or Standard Score](http://en.wikipedia.org/wiki/Standard_score). * * The standard score is the number of standard deviations an observation * or datum is above or below the mean. Thus, a positive standard score * represents a datum above the mean, while a negative standard score * represents a datum below the mean. It is a dimensionless quantity * obtained by subtracting the population mean from an individual raw * score and then dividing the difference by the population standard * deviation. * * The z-score is only defined if one knows the population parameters; * if one only has a sample set, then the analogous computation with * sample mean and sample standard deviation yields the * Student's t-statistic. * * @param {number} x * @param {number} mean * @param {number} standardDeviation * @return {number} z score * @example * zScore(78, 80, 5); // => -0.4 */function zScore(x, mean, standardDeviation) {    return (x - mean) / standardDeviation;}
export default zScore;