Percentiles and Moments
Introduction Statistical measures like percentiles and moments are crucial in understanding data distributions. Percentiles describe the relative standing of a data point in a dataset. Moments capture various aspects of a distribution such as centrality, spread, skewness, and kurtosis. These concepts are widely used in descriptive statistics, machine learning, risk analysis, and anomaly detection. 1. […]
PDF (Probability Desity Function) and PMF (Probability Mass Function)
These functions help describe the distribution of random variables and form the backbone of statistical modeling, machine learning, and data-driven decision-making. Probability Mass Function (PMF) – Used for discrete random variables. e.g dice rolls Probability Density Function (PDF) – Used for continuous random variables. e.g height measurements Probability Mass Function (PMF) A Probability Mass Function […]
Mean, Standard Deviation and Variance
Mean Formula for Mean: Where: is the sum of all data points n is the number of data points in the set. Variance Variance measures how far each data point in the set is from the mean. It gives an idea of how spread out the data is. A small variance indicates that […]