👉 Moment math is a branch of mathematics that focuses on the study of moments, which are essentially integrals of functions raised to a power, typically used in probability theory and statistics. It provides a framework for analyzing the distribution of data by examining moments like the mean, variance, skewness, and kurtosis. These moments offer insights into the central tendency, dispersion, and shape of probability distributions, making moment math crucial for statistical inference, hypothesis testing, and understanding the behavior of random variables. By leveraging moments, statisticians can derive properties of distributions, compare different ones, and make predictions based on empirical data.
