1 1000 11 http://oer.uinsyahada.ac.id/files/original/a9d0dfc05324f038304595fcd7415e70.pdf 6797a0b7fea9f5fa62da4d67e94681a7 Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Title A name given to the resource 519 Probabilities & Applied Mathematics Text A resource consisting primarily of words for reading. Examples include books, letters, dissertations, poems, newspapers, articles, archives of mailing lists. Note that facsimiles or images of texts are still of the genre Text. Original Format The type of object, such as painting, sculpture, paper, photo, and additional data pdf file Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Title A name given to the resource Foundations in Statistical Reasoning Subject The topic of the resource Statistic Statistical Reasoning Description An account of the resource This book starts by presenting an overview of the statistical thought process. By the end of chapter 2, students are already familiar with concepts such as hypotheses, level of significance, p-values, errors. Normally these topics are not introduced until after a discussion of probability and sampling distributions. My approach to probability and sampling distributions is also very different. Because students using this book know about hypotheses before we reach the probability section, inferential theory can be developed by applying the probability rules the testing of a hypothesis. To me, this leads to better and more interesting questions than are typically asked in these sections and gives meaning to these concepts. Other differences include homework problems that require the integration of topics from different chapters as well as one problem in each chapter based on issues discussed in other classes on our campus (e.g. psychology, criminal justice, economics, etc). Creator An entity primarily responsible for making the resource Pete Kaslik Contributor An entity responsible for making contributions to the resource Cut Rita Zahara Rights Information about rights held in and over the resource Creative Commons Type The nature or genre of the resource Textbooks Statistics http://oer.uinsyahada.ac.id/files/original/40777fbabd94be0145cd34e15df62459.pdf e655bbdc01d0f19c92d6b8573b548ad3 Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Title A name given to the resource 519 Probabilities & Applied Mathematics Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Title A name given to the resource OpenIntro Statistics Subject The topic of the resource Statistics Mathematics Description An account of the resource The OpenIntro project was founded in 2009 to improve the quality and availability of education by producing exceptional books and teaching tools that are free to use and easy to modify. The inaugural effort is OpenIntro Statistics. Probability is optional, inference is key, and we feature real data whenever possible. License: Creative Commons Attribution Sharealike. This license is considered to be some to be the most open license. It allows reuse, remixing, and distribution (including commercial), but requires any remixes use the same license as the original. This limits where the content can be remiThe OpenIntro project was founded in 2009 to improve the quality and availability of education by producing exceptional books and teaching tools that are free to use and easy to modify. The inaugural effort is OpenIntro Statistics. Probability is optional, inference is key, and we feature real data whenever possible. License: Creative Commons Attribution Sharealike. This license is considered to be some to be the most open license. It allows reuse, remixing, and distribution (including commercial), but requires any remixes use the same license as the original. This limits where the content can be remixed into, but on the other hand ensures that no-one can remix the content then put the remix under a more restrictive license.xed into, but on the other hand ensures that no-one can remix the content then put the remix under a more restrictive license. Creator An entity primarily responsible for making the resource Diez, Barr Cetinkaya-Rundel Source A related resource from which the described resource is derived http://www.opentextbookstore.com/details.php?id=12 Contributor An entity responsible for making contributions to the resource Cut Rita Zahara Rights Information about rights held in and over the resource Creative Commons Type The nature or genre of the resource Textbooks mathematics Statistics http://oer.uinsyahada.ac.id/files/original/28bc3838e868894af0950c245a85d165.pdf e02f739b46b8adeae87873526b2fdb4c Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Title A name given to the resource 519 Probabilities & Applied Mathematics Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Title A name given to the resource Introductory Statistics Subject The topic of the resource Statistics Math Description An account of the resource ntroductory Statistics is designed for the one-semester, introduction to statistics course and is geared toward students majoring in fields other than math or engineering. This text assumes students have been exposed to intermediate algebra, and it focuses on the applications of statistical knowledge rather than the theory behind it. The foundation of this textbook is Collaborative Statistics, by Barbara Illowsky and Susan Dean. Additional topics, examples, and ample opportunities for practice have been added to each chapter. The development choices for this textbook were made with the guidance of many faculty members who are deeply involved in teaching this course. These choices led to innovations in art, terminology, and practical applications, all with a goal of increasing relevance and accessibility for students. We strove to make the discipline meaningful, so that students can draw from it a working knowledge that will enrich their future studies and help them make sense of the world around them. Creator An entity primarily responsible for making the resource OpenStax College Source A related resource from which the described resource is derived https://www.google.com/url?sa=t&rct=j&q=&esrc=s&source=web&cd=10&cad=rja&uact=8&ved=0ahUKEwiP8cmZ4b3YAhUNTo8KHR5oBzsQFghTMAk&url=https%3A%2F%2Fcnx.org%2Fexports%2Fb56bb9e9-5eb8-48ef-9939-88b1b12ce22f%4021.6.pdf%2Fintroductory-statistics-21.6.pdf&usg=AOvVaw2_hIEFVG56Q8D46QfkcADi Publisher An entity responsible for making the resource available Rice University Contributor An entity responsible for making contributions to the resource Rahmah Agustira Rights Information about rights held in and over the resource Creative Commons Type The nature or genre of the resource Textbooks Introductory Statistics Mathematic Statistics http://oer.uinsyahada.ac.id/files/original/79061b001a38d2eaffdadfd00fcf7ccb.pdf 69991274436d578b9145e03ce34c90e2 Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Title A name given to the resource 519 Probabilities & Applied Mathematics Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Title A name given to the resource From Algorithms to Z-Scores: Probabilistic and Statistical Modeling in Computer Science Subject The topic of the resource Algorithms Probabilistic and Statistical Computer Science Creator An entity primarily responsible for making the resource Norm Matloff Source A related resource from which the described resource is derived https://florida.theorangegrove.org/og/file/2e13f939-b18f-38f7-3719-2d4257f2690c/1/ProbStatBook.pdf Contributor An entity responsible for making contributions to the resource Cut Rita Zahara Rights Information about rights held in and over the resource Creative Commons Type The nature or genre of the resource Textbooks Computer Science continuous probability models discrete probability models introduction to model building introduction to queuing models introduction to statistical inference Markov chains multivariate probability models renewal theory and some applications statistical relations between variables http://oer.uinsyahada.ac.id/files/original/8cd0aec84d9f218a1ffc97d103588f0d.pdf 081a91986ee7105de311883a98029779 Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Title A name given to the resource 519 Probabilities & Applied Mathematics Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Title A name given to the resource Statistical Analysis with The General Linear Model Subject The topic of the resource Statistical Analysis General Linear Model Mathematics Description An account of the resource This course is about a large and complex set of statistical methods tied together by a unifying conceptual framework known as “The General Linear Model” (GLM). This model can be used to answer an amazing variety of research questions within an infinite number of different experimental designs. Basically, the GLM can be used to test almost any hypothesis about a dependent variable (DV) that is measured numerically (e.g., height, income, IQ, age, time needed to run a 100-yard dash, grade point average, etc.; but not categorical DVs like eye color, sex, etc.). In a first statistics course, students will have seen some special cases of the GLM without knowing it. For example, the various kinds of “t-tests” (one-sample, between-subjects, within-subjects, etc.) are special cases of the GLM. So are correlation, regression, and the Analysis of Variance (ANOVA). We will not assume any prior knowledge of these techniques, but students should realize, if the new methods seem familiar, that they are now seeing the big picture. Creator An entity primarily responsible for making the resource Jeff Miller Patricia Haden Contributor An entity responsible for making contributions to the resource Cut Rita Zahara Rights Information about rights held in and over the resource Creative Commons Type The nature or genre of the resource Textbooks General Linear Model Mathematical Sciences Statistical Analysis http://oer.uinsyahada.ac.id/files/original/1382d3c11f0ffef30629cd294e8045be.pdf 8ddeb2133eb506dc23307220fb854b3d Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Title A name given to the resource 519 Probabilities & Applied Mathematics Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Title A name given to the resource Applied Probability Subject The topic of the resource Probability Description An account of the resource 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. Creator An entity primarily responsible for making the resource Paul Pfeiffer Publisher An entity responsible for making the resource available OpenStax CNX Contributor An entity responsible for making contributions to the resource Cut Rita Zahara Rights Information about rights held in and over the resource Creative Commons Type The nature or genre of the resource Textbooks mathematics probability http://oer.uinsyahada.ac.id/files/original/1a016c2b910e1d2cd3bad02968cd9113.pdf 48d4b194e158f33d081b4e5bccbf69c2 Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Title A name given to the resource 519 Probabilities & Applied Mathematics Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Title A name given to the resource Statistical Inference For Everyone Subject The topic of the resource Statistical Inference Description An account of the resource This is a new approach to an introductory statistical inference textbook, motivated by probability theory as logic. It is targeted to the typical Statistics 101 college student, and covers the topics typically covered in the first semester of such a course. It is freely available under the Creative Commons License, and includes a software library in Python for making some of the calculations and visualizations easier. Creator An entity primarily responsible for making the resource Brian Blais Publisher An entity responsible for making the resource available Independent Contributor An entity responsible for making contributions to the resource Cut Rita Zahara Rights Information about rights held in and over the resource Creative Commons Type The nature or genre of the resource Textbooks Statistical Inference http://oer.uinsyahada.ac.id/files/original/3257f85717b6c1f21b922aa79e0c5016.pdf 076cfba5c115a8f360fcaa8f05eca37b Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Title A name given to the resource 519 Probabilities & Applied Mathematics Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Title A name given to the resource Principles of Business Statistics Subject The topic of the resource Business Statistics Publisher An entity responsible for making the resource available OpenStax CNX Contributor An entity responsible for making contributions to the resource Cut Rita Zahara Rights Information about rights held in and over the resource Creative Commons Type The nature or genre of the resource Textbooks Business Statistics http://oer.uinsyahada.ac.id/files/original/6858627619708c085dc68670af10ebfa.pdf 0940bf05849fcc684ca29a8ac428c20f Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Title A name given to the resource 519 Probabilities & Applied Mathematics Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Title A name given to the resource Statistics Using Technology Subject The topic of the resource Statistics, Technology Description An account of the resource You are exposed to statistics regularly. If you are a sports fan, then you have the statistics for your favorite player. If you are interested in politics, then you look at the polls to see how people feel about certain issues or candidates. If you are an environmentalist, then you research arsenic levels in the water of a town or analyze the global temperatures. If you are in the business profession, then you may track the monthly sales of a store or use quality control processes to monitor the number of defective parts manufactured. If you are in the health profession, then you may look at how successful a procedure is or the percentage of people infected with a disease. There are many other examples from other areas. To understand how to collect data and analyze it, you need to understand what the field of statistics is and the basic definitions. Creator An entity primarily responsible for making the resource Kathryn Kozak Source A related resource from which the described resource is derived https://s3-us-west-.amazonaws.com/oerfiles/statsusingtech2.pdf Publisher An entity responsible for making the resource available - Date A point or period of time associated with an event in the lifecycle of the resource 2015 Contributor An entity responsible for making contributions to the resource Baihaqi Format The file format, physical medium, or dimensions of the resource Format Language A language of the resource Englis Type The nature or genre of the resource Textbook http://oer.uinsyahada.ac.id/files/original/5d3c578b6b51bccd2b896764a98e0189.pdf 45f627f45bbc4b7a3550f87a64adaaf3 Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Title A name given to the resource 519 Probabilities & Applied Mathematics Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Title A name given to the resource Lies, Damned Lies, or Statistics: How to Tell the Truth with Statistics Subject The topic of the resource Statistics Description An account of the resource Mathematical definitions should be perfectly precise because they do not describe something which is observed out there in the world, since such descriptive definitions might have fuzzy edges. In biology, for example, whether a virus is considered “alive” could be subject to some debate: viruses have some of the characteristics of life, but not others. This makes a mathematician nervous. Creator An entity primarily responsible for making the resource Jonathan Poritz Source A related resource from which the described resource is derived https://www.poritz.net/jonathan/share/ldlos.pdf Publisher An entity responsible for making the resource available Independent Date A point or period of time associated with an event in the lifecycle of the resource 2017 Contributor An entity responsible for making contributions to the resource Baihaqi Rights Information about rights held in and over the resource Creative Commona Format The file format, physical medium, or dimensions of the resource PDF Language A language of the resource English Type The nature or genre of the resource Textbook http://oer.uinsyahada.ac.id/files/original/e411ea3645bba6271dd8426e399c4603.pdf 1005069af21d00b57850be580584e313 Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Title A name given to the resource 519 Probabilities & Applied Mathematics Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Title A name given to the resource Topics in Applied Mathematics Subject The topic of the resource Applied Mathematics Description An account of the resource The concepts and basic topics in elementary Linear Algebra and Calculus are reviewed and generalized to Linear Analysis in this first unit. In particular, the dot product, the vector space of R 2(that is, the x − y plane in Plane Geometry), and measurement of lengths of vectors in R2 , are extended to the “inner product,” the “inner-product space,” and “norm” measurement, respectively; the notion of eigenvalues and eigenvectors from Linear Algebra is extended to the “eigenvalue problem” of bounded linear operators; and eigenvalues are replaced by singular values for self-adjoint positive definite linear operators. Creator An entity primarily responsible for making the resource Charles K. Chui Source A related resource from which the described resource is derived https://resources.saylor.org/wwwresources/archived/site/wp-content/uploads/2014/11/MA304- TopicsInAppliedMathematics-FINAL.pdf Publisher An entity responsible for making the resource available The Saylor Foundation Date A point or period of time associated with an event in the lifecycle of the resource 2013 Contributor An entity responsible for making contributions to the resource Baihaqi Rights Information about rights held in and over the resource Creative Commons Format The file format, physical medium, or dimensions of the resource PDF Language A language of the resource English Type The nature or genre of the resource Textbook