Let $X$ be a continuous random variable. A probability density function (pdf) $f(x)$ is an integrable function where \[\int\limits_a^b f(x) \mathrm{d} x = \mathrm{P ...
Inferential statistics aims at decision‐making based on scenarios and probabilities. This chapter discusses fundamental concepts like outcomes, sample space, and events. It explains the concept of ...
This module provides an introduction to probability and statistics. Axiomatic probability theory, including Bayes’ Theorem, is discussed briefly. Key discrete and continuous probability modules (such ...