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Probability and Statistics EBook
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This is an Internet-based probability and statistics E-Book. The materials, tools and ...

This is an Internet-based probability and statistics E-Book. The materials, tools and demonstrations presented in this E-Book would be very useful for advanced-placement (AP) statistics educational curriculum. The E-Book is initially developed by the UCLA Statistics Online Computational Resource (SOCR). However, all statistics instructors, researchers and educators are encouraged to contribute to this project and improve the content of these learning materials.
There are 4 novel features of this specific Statistics EBook. It is community-built, completely open-access (in terms of use and contributions), blends information technology, scientific techniques and modern pedagogical concepts, and is multilingual.

Subject:
Statistics and Probability
Material Type:
Textbook
Provider:
UCLA
Provider Set:
Statistics Online Computational Resource
Author:
Statistics Online Computational Resource
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
Material Type:
Assessment
Diagram/Illustration
Full Course
Homework/Assignment
Interactive
Reading
Provider:
Carnegie Mellon University
Provider Set:
Open Learning Initiative
Probability and Statistics
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This module consists of three units: Unit 1: Descriptive Statistics and Probability ...

This module consists of three units: Unit 1: Descriptive Statistics and Probability Distributions - Descriptive statistics in unit one is developed either as an extension of secondary mathematics or as an introduction to first time learners of statistics. It introduces the measures of dispersion in statistics. The unit also introduces the concept of probability and the theoretical treatment of probability. Unit 2: Random variables and Test Distributions - This unit requires Unit 1 as a prerequisite. It develops from the moment and moment generating functions, Markov and Chebychev inequalities, special univariate distributions, bivariate probability distributions and analyses conditional probabilities. The unit gives insights into the analysis of correlation coefficients and distribution functions of random variables such as the Chi-square, t and F. Unit 3: Probability Theory - This unit builds up from unit 2. It analyses probability using indicator functions. It introduces Bonferoni inequality random vectors, generating functions, characteristic functions and statistical independence random samples. It develops further the concepts of functions of several random variables and independence of X and S2 in normal samples order statistics. The unit summarises with the treatment of convergence and limit theorems.

Subject:
Statistics and Probability
Material Type:
Lecture
Module
Provider:
African Virtual university
Provider Set:
OER@AVU
Author:
Chege, Paul
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
Material Type:
Activity/Lab
Full Course
Homework/Assignment
Simulation
Syllabus
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
Material Type:
Reading
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
Material Type:
Textbook
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
Material Type:
Textbook
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
Material Type:
Textbook
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
Material Type:
Textbook
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
Conditions of Use:
No Strings Attached
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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
Material Type:
Assessment
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
Material Type:
Lecture
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
Material Type:
Textbook
Provider:
CK-12 Foundation
Provider Set:
CK-12 FlexBook
Author:
Almukkahal, Raja
Probability Distributions
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This page of Statistical Java describes 11 different probability distributions including the ...

This page of Statistical Java describes 11 different probability distributions including the Binomial, Poisson, Negative Binomial, Geometric, T, Chi-squared, Gamma, Weibull, Log-Normal, Beta, and F. Each distribution has its own applet.

Subject:
Statistics and Probability
Material Type:
Activity/Lab
Provider:
Consortium for the Advancement of Undergraduate Statistics Education
Provider Set:
Causeweb.org
Author:
Anderson-Cook, C.
C.Anderson-Cook
Dorai-Raj, S.
Robinson, T.
S.Dorai-Raj
T.Robinson
Probability
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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
Material Type:
Lesson Plan
Provider:
TeachingWithData.org
Provider Set:
TeachingWithData.org
Author:
Paul Bartha
University of British Columbia
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
Material Type:
Full Course
Textbook
Provider:
M.I.T.
Provider Set:
M.I.T. OpenCourseWare
Author:
Veneziano, Daniele
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
Material Type:
Full Course
Homework/Assignment
Lecture
Lecture Notes
Reading
Provider:
ArsDigita University
Provider Set:
ArsDigita University
Author:
Rajeev Surati
Tina Kapur
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
Material Type:
Textbook
Provider:
CK-12 Foundation
Provider Set:
CK-12 FlexBook
Author:
Meery, Brenda (Editor)
Applied Probability
Conditions of Use:
No Strings Attached
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This is a "first course" in the sense that it presumes no ...

This is a "first course" in the sense that it presumes no previous course in probability. The units are modules taken from the unpublished text: Paul E. Pfeiffer, ELEMENTS OF APPLIED PROBABILITY, USING MATLAB. The units are numbered as they appear in the text, although of course they may be used in any desired order. For those who wish to use the order of the text, an outline is provided, with indication of which modules contain the material.

Subject:
Statistics and Probability
Material Type:
Full Course
Provider:
Rice University
Provider Set:
OpenStax CNX
Author:
Paul E. Pfeiffer
Exponential Probabilities
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The applet in this section allows you see how probabilities are determined ...

The applet in this section allows you see how probabilities are determined from the exponential distribution. The user determines the mean of the distribution and the limits of probability. Three different probability expressions are available.

Subject:
Statistics and Probability
Material Type:
Activity/Lab
Provider:
Consortium for the Advancement of Undergraduate Statistics Education
Provider Set:
Causeweb.org
Author:
Anderson-Cook, C.
C. Anderson-Cook
Dorai-Raj, S.
Robinson, T.
S. Dorai-Raj
T. Robinson