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Probability & Statistics
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This course introduces students to the basic concepts and logic of statistical ...

This course 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.

Note: This free course requires registration

Subject:
Statistics and Probability
Mathematics and Statistics
Material Type:
Assessments
Full Course
Homework and Assignments
Images and Illustrations
Interactive
Readings
Provider:
Carnegie Mellon University - Open Learning Initiative
Provider Set:
Carnegie Mellon University
Elementary Statistics
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Elementary Statistics is an introduction to data analysis course that makes use ...

Elementary Statistics is an introduction to data analysis course that makes use of graphical and numerical techniques to study patterns and departures from patterns. The student studies randomness with emphasis on understanding variation, collects information in the face of uncertainty, checks distributional assumptions, tests hypotheses, uses probability as a tool for anticipating what the distribution of data may look like under a set of assumptions, and uses appropriate statistical models to draw conclusions from data. The course introduces the student to applications in engineering, business, economics, medicine, education, the sciences, and other related fields. The use of technology (computers or graphing calculators) will be required in certain applications.

Subject:
Statistics and Probability
Mathematics and Statistics
Material Type:
Activities and Labs
Full Course
Homework and Assignments
Simulations
Syllabi
Provider:
Foothill-De Anza Community College District
Provider Set:
Sofia
Author:
Barbara Illowsky
Susan Dean
Statistical Inference: Small Probabilities and Errors
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A discussion of how small probabilities license statistical inferences, and how frequentists ...

A discussion of how small probabilities license statistical inferences, and how frequentists C. S. Peirce, R. A. Fisher, J. Neyman, E. S. Pearson, and D. Mayo differ in their interpretations of the p-value of a statistical test. (Unpublished paper)

Subject:
Statistics and Probability
Mathematics and Statistics
Material Type:
Readings
Provider:
Furman University
Provider Set:
Individual Authors
Author:
Sloughter, Dan
Probability & Statistics - Advanced (Teacher's Edition)
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CK-12 Advanced Probability and Statistics Teacher's Edition provides tips and enrichment activities ...

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.

Subject:
Statistics and Probability
Mathematics and Statistics
Material Type:
Textbooks
Provider:
CK-12 Foundation
Provider Set:
CK-12 FlexBook
Author:
Prolo, Jared
Zwack, Teresa
Electronic Statistics Textbook
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This Electronic Statistics Textbook offers training in the understanding and application of ...

This Electronic Statistics Textbook offers training in the understanding and application of statistics. The material was developed at the StatSoft R&D department based on many years of teaching undergraduate and graduate statistics courses and covers a wide variety of applications, including laboratory research (biomedical, agricultural, etc.), business statistics and forecasting, social science statistics and survey research, data mining, engineering and quality control applications, and many others.

Subject:
Engineering
Statistics and Probability
Mathematics and Statistics
Science and Technology
Social Sciences
Material Type:
Textbooks
Provider:
StatSoft
Probability & Statistics - Advanced Second Edition (Student's Edition)
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CK-12 Advanced Probability and Statistics introduces students to basic topics in statistics ...

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.

Subject:
Statistics and Probability
Mathematics and Statistics
Material Type:
Textbooks
Provider:
CK-12 Foundation
Provider Set:
CK-12 FlexBook
Author:
Almukkahal, Raja
DeLancey, Danielle
Meery, Brenda
Ottman, Larry
Probability & Statistics - Advanced (2nd Student's Edition)
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CK-12 Foundation's new and improved Advanced Probability and Statistics-Second Edition FlexBook introduces ...

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.

Subject:
Statistics and Probability
Mathematics and Statistics
Material Type:
Textbooks
Provider:
CK-12 Foundation
Provider Set:
CK-12 FlexBook
Author:
Almukkahal, Raja
DeLancey, Danielle
Lawsky, Ellen
Meery, Brenda
Ottman, Larry
Elementary Statistics: Quiz 3: Probability Topics
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This module is a quiz containing 10 multiple choice questions covering topics ...

This module is a quiz containing 10 multiple choice questions covering topics related to probability. This module is part of a set of companion resources to Collaborative Statistics (col10522) by Barbara Illowsky and Susan Dean.

Subject:
Statistics and Probability
Mathematics and Statistics
Material Type:
Assessments
Provider:
Rice University
Provider Set:
Connexions
Author:
Barbara Illowsky
Susan Dean
Elementary Statistics: Video Lecture - Probability Topics
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This video lecture is designed as a supplement to the Probability Topics ...

This video lecture is designed as a supplement to the Probability Topics chapter of Collaborative Statistics (col10522) by Barbara Illowsky and Susan Dean. In this chapter, students can expect to learn how to understand and use the terminology of probability; determine whether two events are mutually exclusive or independent; calculate probabilities using the Addition Rules and Multiplication Rules; and construct and interpret Contingency Tables, Venn Diagrams, and Tree Diagrams.

Subject:
Statistics and Probability
Mathematics and Statistics
Material Type:
Video Lectures
Provider:
Rice University
Provider Set:
Connexions
Author:
Barbara Illowsky
Susan Dean
CK-12 Advanced Probability and Statistics (CA Textbook)
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Submitted as part of the California Learning Resource Network (CLRN) Phase 3 ...

Submitted as part of the California Learning Resource Network (CLRN) Phase 3 Digital Textbook Initiative (CA DTI3), 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.

Subject:
Statistics and Probability
Mathematics and Statistics
Material Type:
Textbooks
Provider:
CK-12 Foundation
Provider Set:
CK-12 FlexBook
Author:
Almukkahal, Raja
Plinko Probability
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Play Plinko and develop your knowledge of statistics. Drops balls through a ...

Play Plinko and develop your knowledge of statistics. Drops balls through a triangular grid of pegs and see the balls random walk through the lattice. Watch the histogram of final positions build up and approach the binomial distribution. Inspired by the Virtual Lab in Probability and Statistics at U. Alabama in Huntsville (www.math.uah.edu/stat)

Subject:
Biology
Mathematics
Mathematics and Statistics
Science and Technology
Material Type:
Activities and Labs
Instructional Material
Lesson Plans
Simulations
Provider:
Ohio State University College of Education and Human Ecology
University of Colorado Boulder
Provider Set:
Middle School Portal: Math and Science Pathways (MSP2)
PhET Interactive Simulations
Author:
University of Colorado
Probability and Statistics in Engineering, Spring 2005
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Quantitative analysis of uncertainty and risk for engineering applications. Fundamentals of probability, ...

Quantitative analysis of uncertainty and risk for engineering applications. Fundamentals of probability, random processes, statistics, and decision analysis. Random variables and vectors, uncertainty propagation, conditional distributions, and second-moment analysis. Introduction to system reliability. Bayesian analysis and risk-based decision. Estimation of distribution parameters, hypothesis testing, and simple and multiple linear regressions. Poisson and Markov processes. Emphasis on application to engineering problems.

Subject:
Environmental Science
Statistics and Probability
Science and Technology
Material Type:
Assessments
Full Course
Homework and Assignments
Lecture Notes
Syllabi
Provider:
M.I.T.
Provider Set:
M.I.T. OpenCourseWare
Author:
Veneziano, Daniele
Probability
Conditions of Use:
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Overview of a lesson, from a class at the University of British ...

Overview of a lesson, from a class at the University of British Columbia, dealing with the key principles of probability, probability calculus and Bayes' Theorem.

Subject:
Mathematics
Science and Technology
Material Type:
Instructional Material
Lesson Plans
Provider:
TeachingWithData.org
Provider Set:
TeachingWithData.org
Author:
Paul Bartha
University of British Columbia
Applied Probability
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Focuses on modeling, quantification, and analysis of uncertainty by teaching random variables, ...

Focuses on modeling, quantification, and analysis of uncertainty by teaching random variables, simple random processes and their probability distributions, Markov processes, limit theorems, elements of statistical inference, and decision making under uncertainty. This course extends the discrete probability learned in the discrete math class. It focuses on actual applications, and places little emphasis on proofs. A problem set based on identifying tumors using MRI (Magnetic Resonance Imaging) is done using Matlab.

Subject:
Statistics and Probability
Science and Technology
Material Type:
Full Course
Homework and Assignments
Lecture Notes
Readings
Video Lectures
Other
Provider:
ArsDigita University
Provider Set:
ArsDigita University
Author:
Rajeev Surati
Tina Kapur
Playing with Probability
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Students learn how to calculate both theoretical and experimental probability by rotating ...

Students learn how to calculate both theoretical and experimental probability by rotating through a series of work stations.

Subject:
Computer Science
Computing and Information
Mathematics
Material Type:
Instructional Material
Interactive
Lecture Notes
Lesson Plans
Provider:
NSDL Staff
Shodor
Provider Set:
NSDL Math Common Core
CSERD: Computational Science Education Reference Desk
Probability & Statistics - Basic Short Course (Student's Edition)
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CK-12 Foundation's Basic Probability and Statistics - A Short Course is an ...

CK-12 Foundation's Basic Probability and Statistics - A Short Course is an introduction to theoretical probability and data organization. Students learn about events, conditions, random variables, and graphs and tables that allow them to manage data.

Subject:
Statistics and Probability
Mathematics and Statistics
Material Type:
Textbooks
Provider:
CK-12 Foundation
Provider Set:
CK-12 FlexBook
Author:
Meery, Brenda (Editor)
Probability Topics: Probability Lab
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No Strings Attached
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This module presents students with a lab exercise allowing them to apply ...

This module presents students with a lab exercise allowing them to apply their understanding of Probability. In an experiment using M&Ms candies, students will calculate and compare the theoretical and empirical probabilities of drawing particular color candies at random, with and without replacement.

Subject:
Statistics and Probability
Mathematics and Statistics
Material Type:
Activities and Labs
Provider:
Rice University
Provider Set:
Connexions
Author:
Barbara Illowsky, Ph.d.
Susan Dean