Input array containing numerical values.
result: A double representing the computed standard deviation.
Notes: - The function calculates the population standard deviation (dividing by n). If the sample standard deviation is needed, divide by n - 1 instead. - Assumes array_IN is not empty; otherwise, division by zero occurs. - The function first computes the mean using compute_mean(array_IN), then calculates the squared deviations from the mean. - If the dataset contains extreme values (outliers), consider using a robust estimator such as the median absolute deviation (MAD). - Standard deviation is useful for measuring volatility in financial data.
Summary: Computes the standard deviation of an input array. The function calculates the square root of the variance, which measures the spread of the data relative to its mean.