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4434European Union (EU) Bookshop: All EU publications You are looking for!
https://www.merlot.org/merlot/viewMaterial.htm?id=1274140
EU Bookshop is an online bookshop, library, and archive of publications dating back to 1952. It contains 110,000 titles and 235,000 coresponding versions (PDF, eBooks) in more than 50 languages, including the 24 official languages of the EU. The vast majority of titles on EU Bookshop are authored by EU institutions sch as the European Commission, European Parliament, Council of EU, EU agencies and other bodies. Tue, 14 Feb 2017 09:23:41 -0800The Philosophy and Science of Multivariate Reasoning
https://www.merlot.org/merlot/viewMaterial.htm?id=1268805
This book has been specifically written and edited to support classes dealing with the subjects of critical thinking and reasoning, introduction to scientific methods, or basic research methods. A variety of examples and references have been incorporated specifically to support students pursuing degrees in the sciences, social sciences, and liberal arts. The writing style and grammar used in the book have been purposely tailored to support the needs of undergraduate education, but can also be valuable in support of a graduate level review course. Sun, 22 Jan 2017 08:37:09 -0800General Social Survey (2014): Statistics Using SDA (Survey Documentation and Analysis)
https://www.merlot.org/merlot/viewMaterial.htm?id=1254901
These exercises (15 in all) were written for instructors teaching an introductory class in statistics. They were written so each exercise is independent of the others and any one exercise can be used even if the other exercises are not used. These instructional exercises were originally written for SPSS. However, some colleges, including many community colleges, do not have a site license for SPSS. The cost of SPSS is often prohibitive, so I rewrote the exercises to run in SDA, an online statistical package written and maintained at UC Berkeley. SDA is freely available wherever you have an internet connection. I prepared a document to help you with SDA (Notes on Using SDA) which should answer some of your questions about SDA. These documents can be downloaded from the website. The data set used in this exercise is the 2014 General Social Survey. Each exercise consists of two files both of which can be downloaded: the exercise itself as a Word (docx) file and notes to instructor as a Word (docx) file. You have permission to use these exercises and to revise them to fit your needs. Each exercise has a set of keywords to give you a quick view of what is covered.Sat, 3 Dec 2016 10:29:00 -0800Understanding Statistics
https://www.merlot.org/merlot/viewMaterial.htm?id=1246011
This is a free textbook offered by BookBoon.This is a book on the understanding of statistical concepts. If you have no knowledge, you will receive basic knowledge, without having to worry much about mathematics. And if you already know something about statistical methods, you will get a better understanding of the ideas behind them. All basic concepts are discussed in detail and illustrated with examples. Learn more about error margins, analysis of variance, significance, confidence intervals, bootstrap, regression, analysis of scale data, variance components and other concepts. All simply explained and illustrated with examples.Thu, 3 Nov 2016 10:39:41 -0700Statistics in Schools
https://www.merlot.org/merlot/viewMaterial.htm?id=1230631
The U.S. Census Bureau Statistics in Schools program provides resourcs for teaching and learning with real life data. The site has standards-aligned classroom-ready activities for math and history.Wed, 14 Sep 2016 09:18:45 -0700Saylor Academy Open Textbooks
https://www.merlot.org/merlot/viewMaterial.htm?id=1227848
Saylor Academy, one of the leaders in Open Education, offers educators, students, and families 100+ free open textbooks published under various Creative Commons license agreements. Sat, 3 Sep 2016 13:08:25 -0700Introductory Statistics
https://www.merlot.org/merlot/viewMaterial.htm?id=1221239
In many introductory level courses today, teachers are challenged with the task of fitting in all of the core concepts of the course in a limited period of time. The Introductory Statistics teacher is no stranger to this challenge. To add to the difficulty, many textbooks contain an overabundance of material, which not only results in the need for further streamlining, but also in intimidated students. Shafer and Zhang wrote Introductory Statistics by using their vast teaching experience to present a complete look at introductory statistics topics while keeping in mind a realistic expectation with respect to course duration and students’ maturity level.Over time the core content of this course has developed into a well-defined body of material that is substantial for a one-semester course. Shafer and Zhang believe that the students in this course are best served by a focus on that core material and not by an exposure to a plethora of peripheral topics. Therefore in writing Introduction to Statistics they have sought to present only the core concepts and use a wide-ranging set of exercises for each concept to drive comprehension. As a result Introduction to Statistics is a smaller and less intimidating textbook that trades some extended and unnecessary topics for a better-focused presentation of the central material.You will not only appreciate the depth and breadth of exercises in Introduction to Statistics, but you will also like the close attention to detail that Shafer and Zhang have paid to the student and instructor solutions manuals. This is one of few books on the market where the textbook authors have written the solutions manuals to maintain the integrity of the material.In addition, in order to facilitate the use of technology with the book the authors included “large data set exercises,” where appropriate, that refer to large data sets that are available on the web, and for which use of statistical software is necessary.Thu, 11 Aug 2016 18:39:29 -0700Applied Probability
https://www.merlot.org/merlot/viewMaterial.htm?id=1221176
This is a "first course" in the sense that it presumes no previous course in probability. The mathematical prerequisites are ordinary calculus and the elements of matrix algebra. A few standard series and integrals are used, and double integrals are evaluated as iterated integrals. The reader who can evaluate simple integrals can learn quickly from the examples how to deal with the iterated integrals used in the theory of expectation and conditional expectation. Appendix B provides a convenient compendium of mathematical facts used frequently in this work. And the symbolic toolbox, implementing MAPLE, may be used to evaluate integrals, if desired.In addition to an introduction to the essential features of basic probability in terms of a precise mathematical model, the work describes and employs user defined MATLAB procedures and functions (which we refer to as m-programs, or simply programs) to solve many important problems in basic probability. This should make the work useful as a stand-alone exposition as well as a supplement to any of several current textbooks.Most of the programs developed here were written in earlier versions of MATLAB, but have been revised slightly to make them quite compatible with MATLAB 7. In a few cases, alternate implementations are available in the Statistics Toolbox, but are implemented here directly from the basic MATLAB program, so that students need only that program (and the symbolic mathematics toolbox, if they desire its aid in evaluating integrals).Since machine methods require precise formulation of problems in appropriate mathematical form, it is necessary to provide some supplementary analytical material, principally the so-called minterm analysis. This material is not only important for computational purposes, but is also useful in displaying some of the structure of the relationships among events.Thu, 11 Aug 2016 14:56:56 -0700Think Stats: Probability and Statistics for Programmers
https://www.merlot.org/merlot/viewMaterial.htm?id=1215030
Think Stats is an introduction to Probability and Statistics for Python programmers.Think Stats emphasizes simple techniques you can use to explore real data sets and answer interesting questions. The book presents a case study using data from the National Institutes of Health. Readers are encouraged to work on a project with real datasets.If you have basic skills in Python, you can use them to learn concepts in probability and statistics. Think Stats is based on a Python library for probability distributions (PMFs and CDFs). Many of the exercises use short programs to run experiments and help readers develop understanding.Wed, 3 Aug 2016 14:57:16 -0700Using Statistical Analysis to Verify Conclusions
https://www.merlot.org/merlot/viewMaterial.htm?id=1212746
This lesson uses data from the Center for Disease Control to give students experience with the Chi-Square Statistic. Students will use spreadsheets to organize data, which they will then perform statistical analysis on. In the end they will determine whether there is an association between specified variables using the Chi-Square Statistic. Student materials are available for download here (second row, second column of table).Wed, 3 Aug 2016 13:59:56 -0700