Calculating Mean, Standard Deviation, Variance, and Skewness

The main functionality involves calculating various statistical indicators, including mean, standard deviation, variance, skewness, kurtosis, peak-to-peak value, root mean square amplitude, average amplitude, peak value, waveform indicator, and more. Additionally, the software provides other metrics such as impulse indicator and margin indicator. Using these indicators enables a comprehensive understanding of data distribution and characteristics. For example, the peak-to-peak value indicates the maximum amplitude of a signal, while skewness and kurtosis reveal the asymmetry and peakedness of the data distribution. Furthermore, the waveform indicator can analyze signal periodicity, and the impulse indicator helps detect outliers in the signal. Understanding the meaning and application of these metrics is crucial, as they aid in better data analysis and interpretation. The implementation utilizes efficient algorithms, such as iterative methods for mean and variance calculation, and specialized functions for higher-order moments like skewness and kurtosis, ensuring accuracy and performance in technical applications.