\item A \hl{random process} is a situation in which we know what outcomes could happen, but we don't know which particular outcome will happen. \item Examples: coin tosses, die rolls, iTunes shuffle, ...

Level 5 introduction to probability and using the probability scale. This PowerPoint lesson then moves on to show how simple probability is calculated using a tube of Smarties. Your class should be ...

Your codespace will open once ready. There was a problem preparing your codespace, please try again. As an aspiring data scientist, it's important to know the foundations of probability and ...

This course provides an introduction to probability models including sample spaces, mutually exclusive and independent events, conditional probability and Bayes' Theorem. The named distributions ...

This course focuses on probability theory, with the view of probability distributors as models for phenomena with statistical regularity. 1. Discrete distributions (binomial, hypergeometric, and ...

In this session we continue building our foundation in probability by exploring the impact of correlation on the estimation of variance. The Introduction to Quantitative Risk Management (iQRM) Seminar ...