Input array containing numerical values.
result: A double representing the computed variance.
Notes: - The function calculates variance as the square of the standard deviation. - It relies on compute_std(array_IN), which computes the population standard deviation (division by n). If the sample variance is needed, modify compute_std to divide by n - 1. - Assumes array_IN is not empty; otherwise, division by zero occurs. - Variance is sensitive to outliers; if the dataset contains extreme values, consider using robust estimators such as the median absolute deviation (MAD). - Variance is useful in financial modeling, risk assessment, and statistical data analysis.
Summary: Computes the variance of an input array. Variance measures the spread of data relative to the mean by calculating the squared deviation of each value.