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.

Probability & Statistics introduces students to the basic concepts and logic of statistical reasoning and gives the students introductory-level practical ability to choose, generate, and properly interpret appropriate descriptive and inferential methods. In addition, the course helps students gain an appreciation for the diverse applications of statistics and its relevance to their lives and fields of study. The course does not assume any prior knowledge in statistics and its only prerequisite is basic algebra.

To access this course, click "Enter Open & Free Course," then "Enter course" under "Enter without an account."

This resource was created by Michele Barcelona and Janice Nicoles , in collaboration with Lynn Bowder, as part of ESU2's Mastering the Arts project. This project is a four year initiative focused on integrating arts into the core curriculum through teacher education and experiential learning.

Here is a lesson that will challenge students ot make predication based on expected results.  You will need two dice for each pair of students in your classroom.  A token of some sort will help students mark their progress in the game.  The Dice Game is a pair activity, and the Dice Assessment is a stand alone activity where teachers can check student understanding.Activity 1:  In pairs, have students roll two dice ten times each.  Have the other student record the results.  What numbers show up the most often?Activity 2: Dice Game.  Have the students follow the sheet and fill it out togetherActivity 3: Dice Assessment.  Have students individually complete the assessment.

This supplemental resource provides problems and activities related to Probability and Discrete Mathematics in Middle School.

Sixth grade math teacher Ana Posada shares a lesson on probability. Students do simulations of dependent and independent events using a goody bag of objects where they can document the differences between them.

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.

This course develops logical, empirically based arguments using statistical techniques and analytic methods. Elementary statistics, probability, and other types of quantitative reasoning useful for description, estimation, comparison, and explanation are covered. Emphasis is on the use and limitations of analytical techniques in planning practice.

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.

Watch quantum "particles" tunnel through barriers. Explore the properties of the wave functions that describe these particles.

When do photons, electrons, and atoms behave like particles and when do they behave like waves? Watch waves spread out and interfere as they pass through a double slit, then get detected on a screen as tiny dots. Use quantum detectors to explore how measurements change the waves and the patterns they produce on the screen.

Learn about different types of radiometric dating, such as carbon dating. Understand how decay and half life work to enable radiometric dating to work. Play a game that tests your ability to match the percentage of the dating element that remains to the age of the object.

Introduction to random primality tests & how they will work (warm up). Created by Brit Cruise.

Risk analysis, assessment, and management is essential to any engineering field. This course is designed to provide students with an understanding of how to perform a comprehensive risk assessment applicable to a wide variety of engineering problems. The course will focus on failure mode and effect analysis, fault tree analysis, probabilistic risk analysis, and human reliability analysis. The course will also cover fundamental probability and statistics content.

This book covers a wide range of topics that involve the use of probability to solve problems in engineering design and research. Although it is relevant for a wide range of disciplines, it draws heavily on the fields of civil engineering, environmental engineering and the geosciences. Specific topics include risk analysis, probabilistic design, reliability-based design (component and system reliability). Future versions of this book will include additional applications of probability theory related to continuous distributions, extreme value analysis and expanded chapters on component and system reliability. A number of practical examples and exercises are included, both analytic and numerical, some of which use an interactive feature that allows Python code to be used in the web browser without any additional software installation.

Students are presented with a real-life problem of flooding and erosion in the town of Simonton. They must use historical dischage data to determine the future risk of flooding. They must also use historical map data to asses the risk of future losses due to erosion. Using these data, they must dertermine the feasibility of levee systems proposed by the Corp of Engineers. Lastly, they must discuss their assumption and possible sources of error.

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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.

A high school probability activity involving choices.

This task builds on students’ prior knowledge and understanding of conditional probability, and introduces the concept of independence of events.