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Intermediate Algebra with Applications, Multimedia Edition

Based on the best-selling series by the Aufmann team, this hardcover text for the intermediate algebra course adheres to the formula that has made the Aufmann developmental texts so reliable for both students and instructors. The text's clear writing style, emphasis on problem-solving strategies, and proven Aufmann Interactive Method--in an objective-based framework--offer guided learning for both lecture and self-paced courses. The completely integrated learning system is organized by objectives. Each chapter begins with a list of learning objectives, which are woven throughout the text, in Exercises, Chapter Tests, and Cumulative Reviews, as well as through the print and multimedia ancillaries. The result is a seamless, easy-to-follow learning system. Important Notice: Media content referenced within the product description or the product text may not be available in the ebook version.

Based on the best-selling series by the Aufmann team, this hardcover text for the intermediate algebra course adheres to the formula that has made the Aufmann developmental texts so reliable for both students and instructors.

Pengembangan kurikulum matematika

Developing mathematics curriculum in Indonesia; theoritical and historical studies.

Developing mathematics curriculum in Indonesia; theoritical and historical studies.

Think Bayes

If you know how to program with Python and also know a little about probability, you’re ready to tackle Bayesian statistics. With this book, you'll learn how to solve statistical problems with Python code instead of mathematical notation, and use discrete probability distributions instead of continuous mathematics. Once you get the math out of the way, the Bayesian fundamentals will become clearer, and you’ll begin to apply these techniques to real-world problems. Bayesian statistical methods are becoming more common and more important, but not many resources are available to help beginners. Based on undergraduate classes taught by author Allen Downey, this book’s computational approach helps you get a solid start. Use your existing programming skills to learn and understand Bayesian statistics Work with problems involving estimation, prediction, decision analysis, evidence, and hypothesis testing Get started with simple examples, using coins, M&Ms, Dungeons & Dragons dice, paintball, and hockey Learn computational methods for solving real-world problems, such as interpreting SAT scores, simulating kidney tumors, and modeling the human microbiome.

With this book, you'll learn how to solve statistical problems with Python code instead of mathematical notation, and use discrete probability distributions instead of continuous mathematics.

Prentice Hall's Reference to Mathematics

A Guide for Everyday Math

A spiral approach to developing concepts enables professionals to easily use this quick and ready reference. Linking new and old terminology for mathematical concepts, this guide contains a step-by-step format with numerous examples and “tips,” and an extensive index of easy-to-find topics. A four-part organization covers numerous topics under the headings of: computations, equations and formulas, measurement and geometry, and statistics and probability. For nurses, dieticians, job trainers, home schooling professionals, and consumers who want to calculate the “best financial deal” when buying a home, saving and investing money, etc.

This guide includes mathematical concepts for: Computations Measurements Probability Equations Algebra Statistics Formulas Geometry Features include: Step-by-step processes Worked-out examples with explanatory comments Tips for shortcuts ...

Introduction to Real Analysis

Using an extremely clear and informal approach, this book introduces readers to a rigorous understanding of mathematical analysis and presents challenging math concepts as clearly as possible. The real number system. Differential calculus of functions of one variable. Riemann integral functions of one variable. Integral calculus of real-valued functions. Metric Spaces. For those who want to gain an understanding of mathematical analysis and challenging mathematical concepts.

Designed to fill the gaps left in the development of calculus as it is usually presented in the elementary course, this text introduces students to a rigorous understanding of mathematical analysis.