This lesson uses playing cards and Venn Diagrams to explain the idea of probability [Probability playlist: Lesson 2 of 29]

Khan Academy learning modules include a Community space where users can ask questions and seek help from community members. Educators should consult with their Technology administrators to determine the use of Khan Academy learning modules in their classroom. Please review materials from external sites before sharing with students.

This lesson discusses some of the ways a probability question might be expressed. [2:46]

CK-12 Foundation's new and improved Advanced Probability and Statistics-Second Edition FlexBook introduces students to basic topics in statistics and probability, but finishes with the rigorous topics an advanced placement course requires.

CK-12 Advanced Probability and Statistics introduces students to basic topics in statistics and probability but finishes with the rigorous topics an advanced placement course requires. Includes visualizations of data, introduction to probability, discrete probability distribution, normal distribution, planning and conducting a study, sampling distributions, hypothesis testing, regression and correlation, Chi-Square, analysis of variance, and non-parametric statistics.

CK-12 Advanced Probability and Statistics Teacher's Edition provides tips and enrichment activities for teaching CK-12 Advanced Probability and Statistics Student Edition. The solution and assessment guides are available upon request.

At the end of this lesson, students will be able to calculate probability for real-life situations.

This lesson shows how an insurance company uses probability to determine a person's chances of dying. [Probability playlist: Lesson 18 of 29]

Khan Academy learning modules include a Community space where users can ask questions and seek help from community members. Educators should consult with their Technology administrators to determine the use of Khan Academy learning modules in their classroom. Please review materials from external sites before sharing with students.

The main objective of this lesson is to motivate students' thoughts and get them excited about some probability concepts. The aim is to present probability theory in as simple a manner as possible. It is hoped that students will learn that probability theory is a basic tool for handling an uncertain future and making a decision. [34:43]

In these questions, students use the fundamental counting principle, combinations and permutations to determine the number of possible outcomes and the probability. Solutions and explanations are included.

This lesson explains how the Law of Large Numbers works in probability and how it can be used to find predictable patterns in data. Includes downloadable study guide with exercises - guide also covers other topics. [6:24]

Demonstrates how to use a diagram to find all possible outcomes, or the sample space, of a probability experiment. [5:02]

Khan Academy learning modules include a Community space where users can ask questions and seek help from community members. Educators should consult with their Technology administrators to determine the use of Khan Academy learning modules in their classroom. Please review materials from external sites before sharing with students.

Building on their understanding of graphs, students are introduced to random processes on networks. They walk through an illustrative example to see how a random process can be used to represent the spread of an infectious disease, such as the flu, on a social network of students. This demonstrates how scientists and engineers use mathematics to model and simulate random processes on complex networks. Topics covered include random processes and modeling disease spread, specifically the SIR (susceptible, infectious, resistant) model.

Delve into a microscopic world working with models that show how electron waves can tunnel through certain types of barriers. Learn about the novel devices and apparatuses that have been invented using this concept. Discover how tunneling makes it possible for computers to run faster and for scientists to look more deeply into the microscopic world.

This interactive exercise focuses on determining probabilities associated with repeated coin tosses and building tree diagrams to take math out of the classroom and into the real world.

This lesson will introduce experimental and subjective definitions of probability. It is 1 of 3 in the series titled "Relative Frequency Probability/Empirical Method." Includes short quiz. [5:31]

This site from Cornell University contains great information on random or probability sampling. Definitely a site worth checking out on the subject.

This site from Richland Community College provides an overview of probability including a list of probability rules. Several examples using dice are included.

This site from the Richland Community College provides lecuture notes from a class neatly organized and easy to read. Has some good information.

Students learn about probability through a LEGO® MINDSTORMS® NTX-based activity that simulates a game of "rock-paper-scissors." The LEGO robot mimics the outcome of random game scenarios in order to help students gain a better understanding of events that follow real-life random phenomenon, such as bridge failures, weather forecasts and automobile accidents. Students learn to connect keywords such as certainty, probable, unlikely and impossibility to real-world engineering applications.

Demonstrates how to show the sample space for a probability experiment with compound events using a tree, diagram, table, or a list. [9:09]

Khan Academy learning modules include a Community space where users can ask questions and seek help from community members. Educators should consult with their Technology administrators to determine the use of Khan Academy learning modules in their classroom. Please review materials from external sites before sharing with students.