The probability density function (PDF) is an expression used in statistics that defines the probability that some outcome will occur. In this function, the probability is the percentage of a ...
Key topics include quantifying uncertainty with probability, descriptive statistics, point and interval estimation of means and proportions, the basics of hypothesis testing, and a selection 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 ...
Pishro-Nik's: Introduction to Probability, Statistics and Random Processes is a very accessible ... and have made my Jupyter notebook for this chapter available here. Link to PDF of book.
Research of the probability and statistics group includes particle systems, theoretical statistics, non-conventional random walks, random matrix theory, and random polynomials. Research interests also ...
Foundational issues in statistical mechanics and the more general question of how probability is to be understood in the context of physical theories are both areas that have been neglected by ...
What is it and how does it work? Probability and Statistics is an introductory statistics course offered through the Open Learning Initiative (OLI). It is designed to teach the basic concepts of ...
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 ...
the use of statistics is ubiquitous in science, engineering, medicine and epidemiology, marketing, and many other application areas. Probability theory provides a mathematical framework for studying ...
Core concept 5.2 explores making informed choices about which statistical analysis and representation to use for different types of data, as well as the effect on interpretation. Core concept 5.3 ...