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- Abstract:
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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:
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Mathematics and Statistics
- Grade Level:
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Post-secondary
- Collection:
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Carnegie Mellon University
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- Abstract:
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To revise and reinforce some of the basic concepts of statistics and probability.
- Subject:
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Mathematics and Statistics
- Grade Level:
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Secondary
- Collection:
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Scoilnet
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Read the Fine Print
(Complete Item Description)
- Abstract:
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This 10-minute video lesson looks at probability density functions for continuous random variables. [Statistics playlist: Lesson 18 of 85]
- Subject:
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Mathematics and Statistics
- Grade Level:
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Secondary,
Post-secondary
- Collection:
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Khan Academy
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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:
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Mathematics and Statistics
- Grade Level:
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Secondary
- Collection:
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CK-12 FlexBook
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- Abstract:
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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:
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Mathematics and Statistics
- Grade Level:
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Secondary
- Collection:
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CK-12 FlexBook
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- Abstract:
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Elementary introduction with applications. Basic probability models. Combinatorics. Random variables. Discrete and continuous probability distributions. Statistical estimation and testing. Confidence intervals. Introduction to linear regression.
- Subject:
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Mathematics and Statistics
- Grade Level:
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Post-secondary
- Collection:
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MIT OpenCourseWare
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- Abstract:
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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:
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Mathematics and Statistics
- Grade Level:
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Post-secondary
- Collection:
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Connexions
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No Strings Attached
(Complete Item Description)
- Abstract:
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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:
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Mathematics and Statistics
- Grade Level:
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Post-secondary
- Collection:
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Connexions
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No Strings Attached
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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:
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Mathematics and Statistics
- Grade Level:
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Post-secondary
- Collection:
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Individual Authors
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(Complete Item Description)
- Abstract:
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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:
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Science and Technology
- Grade Level:
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Post-secondary
- Collection:
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MIT OpenCourseWare
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The applet in this section allows you to see how the T distribution is related to the Standard Normal distribution by calculating probabilities. The T distribution is primarily used to make inferences on a Normal mean when the variance is unknown.
- Subject:
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Mathematics and Statistics
- Grade Level:
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Post-secondary
- Collection:
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Causeweb.org
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This resource consists of a Java applet and Expository text. The applet simulates the probability plot that compares the empirical quantiles of a sample from a sampling distribution to the distribution quantiles of a test distribution. The sampling distribution, test distribution, and sample size can be specified.
- Subject:
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Mathematics and Statistics
- Grade Level:
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Secondary
- Collection:
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Virtual Laboratories in Probability and Statistics
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No Strings Attached
(Complete Item Description)
- Abstract:
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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:
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Mathematics and Statistics
- Grade Level:
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Secondary
- Collection:
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CK-12 FlexBook
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- Abstract:
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This resource consists of a Java applet and expository text. The applet is a simulation of the experiment of selecting n objects at random from the first m positive integers. The random variables of interest are the order statistics. The applet illustrates the distributions of the order statistics.
- Subject:
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Mathematics and Statistics
- Grade Level:
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Secondary
- Collection:
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Virtual Laboratories in Probability and Statistics
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No Strings Attached
(Complete Item Description)
- Abstract:
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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:
-
Mathematics and Statistics
- Grade Level:
-
Secondary
- Collection:
-
CK-12 FlexBook
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- Abstract:
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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:
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Mathematics and Statistics
- Grade Level:
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Secondary
- Collection:
-
CK-12 FlexBook
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Remix and Share
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No Strings Attached
(Complete Item Description)
- Abstract:
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A work in progress, this FlexBook 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:
-
Mathematics and Statistics
- Grade Level:
-
Secondary
- Collection:
-
CK-12 FlexBook
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This Java demonstration site was created for an applied statistics course at California State University, San Bernadino, provides information for using Java applets with probability and statistics. The site includes introduction to probability models, hypergeometric distribution, Poisson distribution, normal distribution, proportions, confidence intervals for means, the Central Limit Theorem, bivariate normal distribution, linear regression and Buffon's needle. Each topic includes interactive demonstrations using Java applets, some must be downloaded.
- Subject:
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Mathematics and Statistics
- Grade Level:
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Post-secondary
- Collection:
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Starting Point (SERC)
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(Complete Item Description)
- Abstract:
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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:
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Mathematics and Statistics
- Grade Level:
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Post-secondary
- Collection:
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Causeweb.org
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