Raw moments

Raw moments are statistical measures that capture key characteristics of a data set around its average value. They are calculated by taking each data point, subtracting the mean (average), and then raising this difference to a specific power (like squaring or cubing). These moments provide insights into the data's shape, such as its spread (variance) or asymmetry (skewness). Raw moments are fundamental tools in probability and statistics, helping summarize and analyze the distribution of data without transforming it, thus offering a straightforward way to understand the data’s underlying patterns.