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4434Rice Virtual Lab in Statistics
http://www.merlot.org/merlot/viewMaterial.htm?id=79148
Online statistics open textbook and additional resources to assist students in understanding of statistics. Topics covered include Analysis of Variance, Boxplot, Confidence interval, Contrast among means, Correlated t-test, Correlation, Histogram, Independent groups t-test, Regression, Repeated measures ANOVA, and t-test. The applets in the simulations, demonstrations, an d caste studiesare in the public domain and can therefore be used without restriction. Simulations and demonstrations and source code are available for download. To view a video of the award winning author, go to View Rice Virtual Lab - Statistics Award Winner 2007 video Introduction to Probability
http://www.merlot.org/merlot/viewMaterial.htm?id=302288
This introductory probability book, published by the American Mathematical Society, is available from AMS bookshop. We are pleased to announce that our book has now been made freely redistributable under the terms of the GNU Free Documentation License (FDL), as published by the Free Software Foundation. Briefly stated, the FDL permits you to do whatever you like with a work, as long as you don't prevent anyone else from doing what they like with it.The book emphasizes the use of computing to simulate experiments and make computations. We have prepared a set of programs to go with the book. We have Mathematica, Maple, and TrueBASIC versions of these programs.Introductory Statistics / Collaborative Statistics
http://www.merlot.org/merlot/viewMaterial.htm?id=334307
Introductory Statistics is the next generation of Collaborative Statistics and was written by Barbara Illowsky and Susan Dean, faculty members at De Anza College in Cupertino, California. The textbook was developed over several years and has been used in regular and honors-level classroom settings and in distance learning classes. This textbook is intended for introductory statistics courses being taken by students at two and four year colleges who are majoring in fields other than math or engineering. Intermediate algebra is the only prerequisite. The book focuses on applications of statistical knowledge rather than the theory behind it.Online Statistics: An Interactive Multimedia Course of Study
http://www.merlot.org/merlot/viewMaterial.htm?id=353396
Online open textbook with interactive labs but none of the labs are tab-through so not ADA compliant, inaccessible to visually impaired usersProbability and Statistics eBook
http://www.merlot.org/merlot/viewMaterial.htm?id=353545
This is an Internet-based E-Book 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 effort 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 concepts with technology and is multi-lingual (via a translation by page automation).Statistics, Probability, and Data Collection Wikibook
http://www.merlot.org/merlot/viewMaterial.htm?id=335373
Area of applied mathematics concerned with the data collection, analysis, interpretation and presentation.Biological Anthropology Laboratory Activities
http://www.merlot.org/merlot/viewMaterial.htm?id=537172
The 10 labratory activities in this manual cover the standard laboratory assignments: bone and bone feature identification; Hardy-Weinberg equilibrium; living primate identification and lifestyles; bone interpretation; and lessons studying the skulls of the current known hominid ancestral forms. This books uses high quality color images and assignments that are available through creative-commons, thus avoiding copyright and royalty issues. Now other schools can use this material, saving their students the $65 cost of the commercially available one-time use black and white books.Factor Analysis
http://www.merlot.org/merlot/viewMaterial.htm?id=823857
The second volume in a series of Advanced Educational Statistics, Factor Analysis continues a clear, demystified approach to learning educational statistics. A narrative, along with videos, output data sets and sample data sets are included. As with previous volumes in the series, the video presentations are the focal point and will be especially helpful for guiding the learner through the process of conducting statistical analyses using SPSS and interpreting SPSS output data.This iBook is available for free from the iTunes Bookstore: https://itunes.apple.com/us/book/factor-analysis/id656956844?mt=13Foral X: An Introduction to Formal Logic
http://www.merlot.org/merlot/viewMaterial.htm?id=302325
forall x is an introduction to sentential logic and first-order predicate logic with identity, logical systems that significantly influenced twentieth-century analytic philosophy. After working through the material in this book, a student should be able to understand most quantified expressions that arise in their philosophical reading. This books treats symbolization, formal semantics, and proof theory for each language. The discussion of formal semantics is more direct than in many introductory texts. Although forall x does not contain proofs of soundness and completeness, it lays the groundwork for understanding why these are things that need to be proven.In formal logic, sentences and arguments are translated into mathematical languages with well-defined properties. If all goes well, properties of the argument that were hard to discern become clearer. This text describes two formal languages which have been of special importance to philosophers: truth-functional sentential logic and quantified predicate logic. The book covers translation, formal semantics, and proof theory for both languages. This can be used as the textbook for a semester long course in logic, for a unit on logic, or for self-directed study. Each chapter contains practice exercises; solutions to selected exercises appear in an appendix. The author is an assistant professor of philosophy at the University at Albany, SUNY.From Algorithms to Z-Scores: Probabilistic and Statistical Modeling in Computer Science
http://www.merlot.org/merlot/viewMaterial.htm?id=353373
The materials here form a textbook for a course in mathematical probability and statistics for computer science students.״Why is this course different from all other courses?״ * Computer science examples are used throughout, in areas such as: computer networks; data and text mining; computer security; remote sensing; computer performance evaluation; software engineering; data management; etc. * The R statistical/data manipulation language is used throughout. Since this is a computer science audience, a greater sophitication in programming can be assumed. It is recommended that my R tutorial, R for Programmers, be used as a supplement. * Throughout the units, mathematical theory and applications are interwoven, with a strong emphasis on modeling: What do probabilistic models really mean, in real-life terms? How does one choose a model? How do we assess the practical usefulness of models? * There is considerable discussion of the intuition involving probabilistic concepts. However, all models and so on are described precisely in terms of random variables and distributions.For topical coverage, see the book's detailed table of contents.