http://www.merlot.org:80/merlot/ A search of MERLOT materials Copyright 1997-2013 MERLOT. All rights reserved. Fri, 24 May 2013 12:07:14 PDT Fri, 24 May 2013 12:07:14 PDT http://www.merlot.org:80/merlot/images/merlot.gif http://www.merlot.org:80/merlot/ 44 34 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 http://www.merlot.org/merlot/viewMaterial.htm?id=334307 Collaborative Statistics 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. http://www.merlot.org/merlot/viewMaterial.htm?id=335373 Area of applied mathematics concerned with the data collection, analysis, interpretation and presentation. 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. 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. 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. 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. http://www.merlot.org/merlot/viewMaterial.htm?id=337129 This OPEN TEXTBOOK is for Politically-Oriented Web-Enhanced Research Methods for Undergraduates Topics and Tools: Resources for introductory research methods courses in political science and related disciplines The POWERMUTT Project is a cross between an introductory political science research methods textbook and an online resource for teaching and learning such methods. It includes: Topics. Each topic is equivalent to a short chapter in a traditional textbook. Tools. These are brief step-by-step tutorials for carrying out specific techniques. At present, the Tools described are some of those found in SPSS, a leading software package for statistical analysis. Datasets and codebooks. Data, and codebooks describing them, on public opinion, the American states, the U.S. Congress, and the countries of the world. Links to other sites providing additional information about research methods. Compared to traditional textbooks, POWERMUTT offers several important advantages, including: Flexibility. Your instructor may have decided to adopt the entire POWERMUTT site as the main course "textbook," or to use just a small portion of the site's resources as supplementary material. Interactivity. Want to see exactly how a table or graph was generated? With POWERMUTT PUPs (Pop Up Protocols), the answer is just a click away. Just as close is additional information on other resources within POWERMUTT or elsewhere on the Web. Affordability. In fact, it's free! However, your instructor may ask you to purchase hard copy of all or part of POWERMUTT for a nominal cost at your campus copy center. While most of the materials in the project are for reference, some, especially the Topics, need to be studied carefully. A highlighter will really mess up your monitor. You can save money by directly downloading the Topics and printing them at home. http://www.merlot.org/merlot/viewMaterial.htm?id=513947 This is a free, online textbook offered by the Global Text Project at University of Georgia. 'The book "Introductory Business Statistics" by Thomas K. Tiemann explores the basic ideas behind statistics, such as populations, samples, the difference between data and information, and most importantly sampling distributions. The author covers topics including descriptive statistics and frequency distributions, normal and t-distributions, hypothesis testing, t-tests, f-tests, analysis of variance, non-parametric tests, and regression basics. Using real-world examples throughout the text, the author hopes to help students understand how statistics works, not just how to "get the right number.״' http://www.merlot.org/merlot/viewMaterial.htm?id=353386 Abstract: The book, Introductory Statistics: Concepts, Models, and Applications, presented in the following pages represents over twenty years of experience in teaching the material contained therein. The high price of textbooks and a desire to customize course material for my own needs caused me to write this material. This Web text and associated exercises is a continuing project. Check back often for updates.