Developmental Mathematics 2e Textbook and Software Bundle PDF Download

Author: Hawkes Learning
Publisher:
ISBN: 9781642770025
Category :
Languages : en
Pages :

View

Book Description

Author: Tilman M. Davies
Publisher: No Starch Press
ISBN: 1593276516
Category : Computers
Languages : en
Pages : 833

View

Book Description
The Book of R is a comprehensive, beginner-friendly guide to R, the world’s most popular programming language for statistical analysis. Even if you have no programming experience and little more than a grounding in the basics of mathematics, you’ll find everything you need to begin using R effectively for statistical analysis. You’ll start with the basics, like how to handle data and write simple programs, before moving on to more advanced topics, like producing statistical summaries of your data and performing statistical tests and modeling. You’ll even learn how to create impressive data visualizations with R’s basic graphics tools and contributed packages, like ggplot2 and ggvis, as well as interactive 3D visualizations using the rgl package. Dozens of hands-on exercises (with downloadable solutions) take you from theory to practice, as you learn: –The fundamentals of programming in R, including how to write data frames, create functions, and use variables, statements, and loops –Statistical concepts like exploratory data analysis, probabilities, hypothesis tests, and regression modeling, and how to execute them in R –How to access R’s thousands of functions, libraries, and data sets –How to draw valid and useful conclusions from your data –How to create publication-quality graphics of your results Combining detailed explanations with real-world examples and exercises, this book will provide you with a solid understanding of both statistics and the depth of R’s functionality. Make The Book of R your doorway into the growing world of data analysis.

Author: Todd Knowlton
Publisher: Goodheart-Wilcox Publisher
ISBN: 9781605257860
Category : Business & Economics
Languages : en
Pages : 0

View

Book Description
Math for Financial Literacy prepares your students for the real world. Written specifically for teens, Math for Financial Literacy provides instruction for relevant math concepts that students can easily relate to their daily lives. In Math for Financial Literacy, students learn how to apply basic math concepts to the tasks they will use in the real world, including earning a paycheck, managing a bank account, using credit cards, and creating a budget. Other practical topics are presented to help students become financially capable and responsible. Each chapter is designed to present content in small segments for optimal comprehension. The following features also support students in the 5E instructional model. Reading Prep activities give students an opportunity to apply the Common Core State Standards for English Language Arts. These activities are noted by the College and Career Readiness icon and will help students meet the College and Career Readiness (CCR) anchor standards for reading and writing. For just-in-time practice of relevant skills, Build Your Math Skills features provide a preview of skills needed in the lesson, while Review Your Math Skills features reinforce those skills after the lesson instruction. See It and Check It features set the structure for presenting examples of each concept. See It demonstrates the concept, and Check It gives students a chance to try it for themselves. Skills Lab provided at the beginning of the text helps students become reacquainted with the math skills they will encounter in the book. There are 16 labs ranging from place value/order to bar and circle graphs. The Financial Literacy Simulation: Stages of Life Project provides students with real-life personal and professional scenarios that require the math skills and problem-solving techniques they have learned during the course. This capstone chapter is divided into life stages to support students as they enter into the adult world of working and financial planning. Assessment features at the end of the chapters allow for the review of key terms and concepts, as well as a spiral review of content from previous chapters. Additional features include: Financial $marts features offer information that applies the content to the practical matter of personal finance. Money Matters features equip students with background knowledge about the chapter topic. Apply Your Technology Skills features allow students to use technology to apply the math concepts they learned to real-life situations. Career Discovery features offer students an inside look at the math skill they will need for the career of their choice, based on the 16 Career Clusters(TM). FYI tips provide relevant information about the chapter content and math principles.

Author: Stephen Boyd
Publisher: Cambridge University Press
ISBN: 1316518965
Category : Business & Economics
Languages : en
Pages : 477

View

Book Description
A groundbreaking introduction to vectors, matrices, and least squares for engineering applications, offering a wealth of practical examples.

Author:
Publisher:
ISBN:
Category : Computer software
Languages : en
Pages :

View

Book Description

Author: Subodh Kumar
Publisher: Cambridge University Press
ISBN: 1009276301
Category : Computers
Languages : en
Pages :

View

Book Description
In modern computer science, there exists no truly sequential computing system; and most advanced programming is parallel programming. This is particularly evident in modern application domains like scientific computation, data science, machine intelligence, etc. This lucid introductory textbook will be invaluable to students of computer science and technology, acting as a self-contained primer to parallel programming. It takes the reader from introduction to expertise, addressing a broad gamut of issues. It covers different parallel programming styles, describes parallel architecture, includes parallel programming frameworks and techniques, presents algorithmic and analysis techniques and discusses parallel design and performance issues. With its broad coverage, the book can be useful in a wide range of courses; and can also prove useful as a ready reckoner for professionals in the field.

Author: Elayn Martin-Gay
Publisher:
ISBN: 9780321936875
Category : Algebra
Languages : en
Pages : 0

View

Book Description
Elayn Martin-Gay's developmental math program is motivated by her firm belief that every student can succeed. Martin-Gay's focus on the student shapes her clear, accessible writing, inspires her constant pedagogical innovations, and contributes to the popularity and effectiveness of her video resources. This revision of Martin-Gay's algebra series continues her focus on students and what they need to be successful. This program provides a better teaching and learning experience, for you and your students. Here's how: The new Martin-Gay Student Success Program provides an integrated teaching and learning system--combining the textbook, MyMathLab(R), student and video organizers, and the video program--which is designed to help students gain the math and study skills they need for success in developmental math and beyond. Note: You are purchasing a standalone product; MyMathLab does not come packaged with this content. MyMathLab is not a self-paced technology and should only be purchased when required by an instructor. If you would like to purchase both the physical text and MyMathLab, search for: 0321983130 / 9780321983138 Developmental Mathematics Plus NEW MyMathLab with Pearson eText -- Access Card Package Package consists of: 0321431308 / 9780321431301 MyMathLab -- Glue-in Access Card 0321654064 / 9780321654069 MyMathLab Inside Star Sticker 0321936876 / 9780321936875 Developmental Mathematics

Author: Quant Systems
Publisher:
ISBN: 9781932628845
Category :
Languages : en
Pages :

View

Book Description

Author: Michael J. Crawley
Publisher: John Wiley & Sons
ISBN: 9780470515068
Category : Mathematics
Languages : en
Pages : 953

View

Book Description
The high-level language of R is recognized as one of the mostpowerful and flexible statistical software environments, and israpidly becoming the standard setting for quantitative analysis,statistics and graphics. R provides free access to unrivalledcoverage and cutting-edge applications, enabling the user to applynumerous statistical methods ranging from simple regression to timeseries or multivariate analysis. Building on the success of the author’s bestsellingStatistics: An Introduction using R, The R Book ispacked with worked examples, providing an all inclusive guide to R,ideal for novice and more accomplished users alike. The bookassumes no background in statistics or computing and introduces theadvantages of the R environment, detailing its applications in awide range of disciplines. Provides the first comprehensive reference manual for the Rlanguage, including practical guidance and full coverage of thegraphics facilities. Introduces all the statistical models covered by R, beginningwith simple classical tests such as chi-square and t-test. Proceeds to examine more advance methods, from regression andanalysis of variance, through to generalized linear models,generalized mixed models, time series, spatial statistics,multivariate statistics and much more. The R Book is aimed at undergraduates, postgraduates andprofessionals in science, engineering and medicine. It is alsoideal for students and professionals in statistics, economics,geography and the social sciences.

Author: David Eisenbud
Publisher: Springer Science & Business Media
ISBN: 9783540422303
Category : Mathematics
Languages : en
Pages : 354

View

Book Description
This book presents algorithmic tools for algebraic geometry, with experimental applications. It also introduces Macaulay 2, a computer algebra system supporting research in algebraic geometry, commutative algebra, and their applications. The algorithmic tools presented here are designed to serve readers wishing to bring such tools to bear on their own problems. The first part of the book covers Macaulay 2 using concrete applications; the second emphasizes details of the mathematics.