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Think Bayes: Bayesian Statistics Made Simple
Allen Downey · Green Tea Press · 2012
Think Bayes is an introduction to Bayesian statistics using computational methods. The premise of this book, and the other books in the Think X series, is that if you know how to program, you can use that skill to learn other topics. Most books on Bayesian statistics use mathematical notation and present ideas in terms of mathematical concepts like calculus. This book uses Python code instead of math, and discrete approximations instead of continuous mathematics. As a result, what would be an integral in a math book becomes a summation, and most operations on probability distributions are simple loops. I think this presentation is easier to understand, at least for people with programming skills. It is also more general, because when we make modeling decisions, we can choose the most appropriate model without worrying too much about whether the model lends itself to conventional analysis. Also, it provides a smooth development path from simple examples to real-world problems.
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Foundations of Computation
Carol Critchlow; David Eck · Carol Crichlow and David Eck · 2011
Foundations of Computation is a free textbook for a one-semester course in theoretical computer science. It has been used for several years in a course at Hobart and William Smith Colleges. The course has no prerequisites other than introductory computer programming. The first half of the course covers material on logic, sets, and functions that would often be taught in a course in discrete mathematics. The second part covers material on automata, formal languages, and grammar that would ordinarily be encountered in an upper level course in theoretical computer science.
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Algorithms and Data Structures With Applications to Graphics and Geometry
Jurg Nievergelt; Klaus Hinrichs · Global Text Project · 2011
An introductory coverage of algorithms and data structures with application to graphics and geometry.
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Data Analytics with Applications in Business
Elbert Hearon · Aurora University · 2026
In today’s data-driven world, businesses constantly ask: How can we make optimal decisions? How can we predict what will happen next? Data analytics answers these questions and many other by transforming raw data into meaningful insights.
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Fundamentals of Business Math
Lisa Koster; Tracey Chase · Conestoga College · 2023
This text will provide students with learning tools to develop fundamental mathematic skills and help them to improve basic arithmetic skills and develop reasoning and problem-solving skills.
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Gateway to Business Analytics with Microsoft Excel®
Humberto Barreto · PALNI · 2025
Business analytics is a new, expanding subfield with fuzzy edges that overlap into a variety of other established disciplines, including economics, econometrics, computer science, data science, finance, statistics, mathematics, and even psychology. Business analytics includes such traditional techniques as regression and data visualization, but also newer methods such as web scraping, big data, machine learning, and artificial intelligence. Its key distinguishing feature is using data to make and communicate business decisions. This textbook utilizes Microsoft Excel to present a mix of topics appropriate to an undergraduate level introduction to business analytics course with an engaging delivery style.
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Business Calculus with Excel
Mike May · Mike May, S.J. and Anneke Bart · 2024
This text is intended for a one semester calculus course for business students with the equivalent of a college algebra prerequisite. Rather than being a three-semester engineering calculus course that has been watered down to fit into one semester it is designed for the business students.
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International Finance: Theory and Policy
Steve Suranovic · Saylor Foundation · 2010
International Finance Theory and Policy is built on Steve Suranovic's belief that to understand the international economy, students need to learn how economic models are applied to real world problems. It is true what they say, that ”economists do it with models.“ That's because economic models provide insights about the world that are simply not obtainable solely by discussion of the issues. International Finance Theory and Policy develops a unified model of the international macroeconomy. The text provides detailed descriptions of major macroeconomic variables, covers the interest rate parity and purchasing power parity theories of exchange rate determination, takes an exhaustive look at the pros and cons of trade imbalances and presents the well-known AA-DD model to explore the effects of fiscal and monetary policy under both fixed and flexible exchange rates. The models are developed, not by employing advanced mathematics, but rather by walking students through a detailed description of how a model's assumptions influence its conclusions. But more importantly, each model and theory is connected to real world policy issues. The Finance Text has the following unique features: o Begins with an historical overview of the international macroeconomy to provide context for the theory. o Concludes with a detailed discussion of the pros and cons of fixed and floating exchange rate systems. o Provides an extensive look at the issue of trade imbalances. Readers learn techniques to evaluate whether a country's trade deficit (or surplus) is dangerous, beneficial, or benign. o Explains how purchasing power parity is used to make cross country income comparisons. o Offers clear detailed explanations of the AA-DD model. o Applies the AA-DD model to understand the effects of monetary and fiscal policy on GDP, the exchange rate, and the trade balance. International Finance Theory and Policy by Steve Suranovic is intended for a one-semester course in International Finance. After M
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Money and Banking
Robert Wright · Saylor Foundation · 2012
The financial crisis of 2007-8 has already revolutionized institutions, markets, and regulation. Wright's Money and Banking V 2.0 captures those revolutionary changes and packages them in a way that engages undergraduates enrolled in Money and Banking and Financial Institutions and Markets courses. Minimal mathematics, accessible language, and a student-oriented tone ease readers into complex subjects like money, interest rates, banking, asymmetric information, financial crises and regulation, monetary policy, monetary theory, and other standard topics. Numerous short cases, called "Stop and Think" boxes, promote internalization over memorization. Exercise drills ensure basic skills competency where appropriate. Short, snappy sections that begin with a framing question enhance readability and encourage assignment completion. The 2.0 version of this text boasts substantive revisions (additions, deletions, rearrangements) of almost every chapter based on the suggestions of many Money and Banking instructors. Some specific highlights are: Chapter 11 now contains enhanced descriptions of recent regulatory changes, including Dodd-Frank, Chapter 12 is an entirely new chapter on derivatives covering forwards, futures, options, and swaps that also including comprehensive treatment of the causes and consequences of financial crises, and Chapter 14 has updated discussions of the Federal Reserve's monetary policy tools, including paying interest on reserves, and the structure and leadership of the European Central Bank. Recent financial turmoil has increased student interest in the financial system but simultaneously threatens to create false impressions and negative attitudes. This up-to-date text by a dynamic, young author encourages students to critique the financial system without rejecting its many positive attributes. Peruse the book online now to see for yourself if this book fits the needs of your course and students. This textbook has been used in classes at:Augustana
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Elementary Algebra
Wade Ellis; Denny Burzynski · OpenStax CNX · 2010
This course takes an interdisciplinary approach to ethics in business and provides modules in Ethical Leadership, Ethical Decision-Making, Social Responsibility, and Corporate Governance. Students will actively study ethical theory by carrying out exercises to help them build theory-based tools for encountering ethical problems in business practice. They will also work with cases in business ethics designed to give them practice in developing skills of ethical leadership, ethical decision-making, and carrying out socio-technical analyses to respond to issues of social responsibility. This course will culminate in an Ethics Bowl competition in which students will practice ethics advocacy in a variety of organizational contexts in business.
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Introductory Business Statistics
Lex Holmes; Barbara Illowsky; Susan Dean · OpenStax · 2023
Introductory Business Statistics 2e aligns with the topics and objectives of the typical one-semester statistics course for business, economics, and related majors. The text provides detailed and supportive explanations and extensive step-by-step walkthroughs. The author places a significant emphasis on the development and practical application of formulas so that students have a deeper understanding of their interpretation and application of data. Problems and exercises are largely centered on business topics, though other applications are provided in order to increase relevance and showcase the critical role of statistics in a number of fields and real-world contexts. The second edition retains the organization of the original text. Based on extensive feedback from adopters and students, the revision focused on improving currency and relevance, particularly in examples and problems. A detailed transition guide is available for instructors. The first edition of Introductory Business Statistics by OpenStax is available in web view here.
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Introductory Business Statistics with Interactive Spreadsheets
Mohammad Mahbobi; Thomas Tiemann · BCcampus · 2010
Introductory Business Statistics with Interactive Spreadsheets – 1st Canadian Edition is an adaptation of Thomas K. Tiemann's book, Introductory Business Statistics. This new edition still contains the basic ideas behind statistics, such as populations, samples, the difference between data and information, and sampling distributions as well as information on descriptive statistics and frequency distributions, normal and t-distributions, hypothesis testing, t-tests, f-tests, analysis of variance, non-parametric tests, and regression basics. New topics include the chi-square test and categorical variables, null and alternative hypotheses for the test of independence, simple linear regression model, least squares method, coefficient of determination, confidence interval for the average of the dependent variable, and prediction interval for a specific value of the dependent variable. This new edition also allows readers to learn the basic and most commonly applied statistical techniques in business in an interactive way — when using the web version — through interactive Excel spreadsheets. For each topic, a customized interactive template has been created within which selected values can be repeatedly changed to observe how the entire process, as well as the outcomes, are automatically adjusted. Also, in this adapted edition, the real-world examples throughout the text, and the information in general, have been revised to reflect Canadian content.
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Prealgebra 2e
Lynn Marecek; MaryAnne Anthony-Smith; Andrea Honeycutt Mathis · OpenStax, Rice University
Prealgebra 2e is designed to meet scope and sequence requirements for a one-semester prealgebra or basic math course. The book’s organization makes it easy to adapt to a variety of course syllabi. The text introduces the fundamental concepts of algebra while addressing the needs of students with diverse backgrounds and learning styles. Each topic builds upon previously developed material to demonstrate the cohesiveness and structure of mathematics. The second edition contains detailed updates and accuracy revisions to address comments and suggestions from users. Dozens of faculty experts worked through the text, exercises and problems, graphics, and solutions to identify areas needing improvement. Though the authors made significant changes and enhancements, exercise and problem numbers remain nearly the same in order to ensure a smooth transition for faculty. The first edition of Prealgebra by OpenStax is available in web view here.
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Elementary Algebra 2e
Lynn Marecek; MaryAnne Anthony-Smith; Andrea Honeycutt Mathis · OpenStax, Rice University
Elementary Algebra 2e is designed to meet scope and sequence requirements for a one-semester elementary algebra course. The book’s organization makes it easy to adapt to a variety of course syllabi. The text expands on the fundamental concepts of algebra while addressing the needs of students with diverse backgrounds and learning styles. Each topic builds upon previously developed material to demonstrate the cohesiveness and structure of mathematics. The second edition contains detailed updates and accuracy revisions to address comments and suggestions from users. Dozens of faculty experts worked through the text, exercises and problems, graphics, and solutions to identify areas needing improvement. Though the authors made significant changes and enhancements, exercise and problem numbers remain nearly the same in order to ensure a smooth transition for faculty. The first edition of Elementary Algebra by OpenStax is available in web view here.
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Algebra 1
Lynn Marecek; MaryAnne Anthony-Smith; Andrea Honeycutt Mathis; Jay Abramson · OpenStax, Rice University
Algebra 1 is a complete high school algebra curriculum that is 100% aligned with the Texas Essential Knowledge and Skills (TEKS) and the English Language Proficiency Standards (ELPS). OpenStax Algebra 1 is a high-quality instructional material (HQIM) that is flexible enough for core adoption and adaptable enough to support a wide range of teaching strategies and student needs. Algebra 1 is a research-backed curriculum designed to strengthen teaching and learning in all classrooms. The OpenStax Algebra 1 curriculum is structured across nine units that guide students from linear to exponential to quadratic functions, emphasizing how these patterns differ. Students explore mathematical relationships through tables, equations, graphs, and real-world contexts, beginning with patterns of repeated addition or subtraction (linear), moving into multiplication or division (exponential), and culminating in models that both increase and decrease (quadratic). Each unit includes a readiness pre-assessment, multiple content sections, section assessments, and ends with a project, quizzes, and a wrap-up. The curriculum is designed to support coherent instruction, continuous assessment, and student engagement throughout the school year. Through our free, digital teacher guide (available within the “instructor resources” section of the website), teachers receive clear learning targets, prerequisite skill guidance, videos, and a breakdown of the Texas Essential Knowledge and Skills (TEKS) addressed in every lesson. Algebra 1 was authored by OpenStax and is based, in part, on the OpenStax Pre Algebra, Elementary Algebra, Intermediate Algebra, and College Algebra materials, and the IM 6-12TM by Illustrative Mathematics®. Based on OpenStax’s open (CC-BY-NC-SA) license, educators may remix and reuse the elements and content in Algebra 1 according to their approach and learning objectives. OpenStax textbooks are always available free online at openstax.org. If you have encountered a white s
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MAT 117: Mathematical Problem Solving in Liberal Arts
LibreTexts
LibreTexts
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ECED21203 Curriculum Development in Early Childhood Education
LueCrecy Ragan & Emily Harris · Arkansas State University-Beebe
Có trong mục lục: 10: Mathematics Curriculum · 10.01: Mathematics Sections
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Thermodynamics and Introduction to Quantum Mechanics
Cathrine Southern · DePaul University
Có trong mục lục: 10: Appendix- Mathematics for Physical Chemistry
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MTH 220 Calculus I
Monroe Community College · LibreTexts
LibreTexts
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Math 150: Survey of Math
Leah Griffith, Veronica Holbrook, Johnny Johnson & Nancy Garcia · Rio Hondo College
In this text, students will learn to read and understand quantitative information, solve practical problems, and make sound decisions using numbers. Topics include consumer applications, logic, probability, statistics, algebra, and geometry. This text is for students who need a quantitative reasoning course for graduation or transfer.