Imagine Learning Classroom
Learn Zillion: Lesson Video: Show That Associated Events Are Not Independent
In this lesson, you will learn how to determine that associated events are not independent by comparing the conditional probability of A given B to the simple probability of A. [4:45]
Other
Math Counts Foundation: Probability With Geometry Representations
This video focuses on probability with geometry representations. Links to an activity sheet and the solutions also available.
Khan Academy
Khan Academy: Probability: Conditional Probability and Combinations
Video describes finding the conditional probability that a fair coin was picked given there were four heads out of six flips. Probability is found using Bayes' theorem and combinations. [16:52]
Khan Academy
Khan Academy: Conditional Probability and Combinations
Video describes finding the conditional probability that a fair coin was picked given there were four heads out of six flips.
Khan Academy
Khan Academy: Probability Using Combinatorics: Probability of Dependent Events 2
Video lesson demonstrating the probability of getting a certain hand in a game of cards by using combinations. I
Khan Academy
Khan Academy: Addition Rule for Probability
This video, from Khan Academy, explains addition rule of probability for both dependent and independent events by solving an example (using Venn diagrams).
Crash Course
Crash Course Statistics #13: Probability: Rules and Patterns
This video is an introduction to probability. You will learn about how the addition (OR) rule, the multiplication (AND) rule, and conditional probabilities help us figure out the likelihood of sequences of events happening. [12:00]
Khan Academy
Khan Academy: Conditional Probability Explained Visually
Conditional probability is explained via the flipping of coins.
Khan Academy
Khan Academy: Conditional Probability and Independence
Use conditional probability to see if events are independent or not.
Khan Academy
Khan Academy: Conditional Probability Tree Diagram Example
Using a tree diagram to work out a conditional probability question. If someone fails a drug test, what is the probability that they actually are taking drugs?