Probability is a way of expressing knowledge or belief that an event will occur or has occurred. The concept has an exact mathematical meaning in probability theory, which is used extensively in such areas of study as mathematics, statistics, finance, gambling, science, Artificial intelligence/Machine learning and philosophy to draw conclusions about the likelihood of potential events and the underlying mechanics of complex systems.
Basic idea and definitions of random variables
Random variables. Expected value. Probability distributions (both discrete and continuous). Binomial distribution. Poisson processes.
Defining discrete and continuous random variables. Working through examples of both discrete and continuous random variables.
Supplemental catalog subcollection information: American Libraries Collection; Historical Literature
Probability density functions for continuous random variables.
Probability of getting a certain number roll in Monopoly
Introduction to probability. Independent and dependent events. Compound events. Mutual exclusive events. Addition rule for probability.
What probability is.
More on probability.
Introduction to conditional probability
Introduction to Bayes' Theorem
More on conditional probability. Touch on Bayes' Theorem.
Let's flip a coin.
More on free throws.
Probability of getting a set of cards
Basics of probability and combinatorics. This tutorial will apply the permutation and combination tools you learned in the last tutorial to problems of probability. You'll finally learn that there may be better investments than poring all your money int
Probability of winning the Mega Millions jackpot
An introduction to probability
Basics of probability and combinatorics.
The probability that at least 2 people in a room of 30 share the same birthday.