R For College Mathematics and Statistics
R For College Mathematics and Statistics

Author: Thomas Pfaff

Publisher: CRC Press

Published: 2019-04-01

Total Pages: 267

ISBN-13: 1000006972

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R for College Mathematics and Statistics encourages the use of R in mathematics and statistics courses. Instructors are no longer limited to ``nice'' functions in calculus classes. They can require reports and homework with graphs. They can do simulations and experiments. R can be useful for student projects, for creating graphics for teaching, as well as for scholarly work. This book presents ways R, which is freely available, can enhance the teaching of mathematics and statistics. R has the potential to help students learn mathematics due to the need for precision, understanding of symbols and functions, and the logical nature of code. Moreover, the text provides students the opportunity for experimenting with concepts in any mathematics course. Features: Does not require previous experience with R Promotes the use of R in typical mathematics and statistics course work Organized by mathematics topics Utilizes an example-based approach Chapters are largely independent of each other

Introductory Statistics 2e
Introductory Statistics 2e

Author: Barbara Illowsky

Publisher:

Published: 2023-12-13

Total Pages: 2106

ISBN-13:

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Introductory Statistics 2e provides an engaging, practical, and thorough overview of the core concepts and skills taught in most one-semester statistics courses. The text focuses on diverse applications from a variety of fields and societal contexts, including business, healthcare, sciences, sociology, political science, computing, and several others. The material supports students with conceptual narratives, detailed step-by-step examples, and a wealth of illustrations, as well as collaborative exercises, technology integration problems, and statistics labs. The text assumes some knowledge of intermediate algebra, and includes thousands of problems and exercises that offer instructors and students ample opportunity to explore and reinforce useful statistical skills. This is an adaptation of Introductory Statistics 2e by OpenStax. You can access the textbook as pdf for free at openstax.org. Minor editorial changes were made to ensure a better ebook reading experience. Textbook content produced by OpenStax is licensed under a Creative Commons Attribution 4.0 International License.

Transition to Higher Mathematics
Transition to Higher Mathematics

Author: Bob A. Dumas

Publisher: McGraw-Hill Education

Published: 2007

Total Pages: 0

ISBN-13: 9780071106474

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This book is written for students who have taken calculus and want to learn what "real mathematics" is.

Statistics and Probability with Applications (High School)
Statistics and Probability with Applications (High School)

Author: Daren Starnes

Publisher: Macmillan Higher Education

Published: 2016-10-07

Total Pages: 1532

ISBN-13: 131912013X

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Statistics and Probability with Applications, Third Edition is the only introductory statistics text written by high school teachers for high school teachers and students. Daren Starnes, Josh Tabor, and the extended team of contributors bring their in-depth understanding of statistics and the challenges faced by high school students and teachers to development of the text and its accompanying suite of print and interactive resources for learning and instruction. A complete re-envisioning of the authors’ Statistics Through Applications, this new text covers the core content for the course in a series of brief, manageable lessons, making it easy for students and teachers to stay on pace. Throughout, new pedagogical tools and lively real-life examples help captivate students and prepare them to use statistics in college courses and in any career.

Math in Society
Math in Society

Author: David Lippman

Publisher:

Published: 2012-09-07

Total Pages: 0

ISBN-13: 9781479276530

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Math in Society is a survey of contemporary mathematical topics, appropriate for a college-level topics course for liberal arts major, or as a general quantitative reasoning course.This book is an open textbook; it can be read free online at http://www.opentextbookstore.com/mathinsociety/. Editable versions of the chapters are available as well.

All of Statistics
All of Statistics

Author: Larry Wasserman

Publisher: Springer Science & Business Media

Published: 2013-12-11

Total Pages: 446

ISBN-13: 0387217363

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Taken literally, the title "All of Statistics" is an exaggeration. But in spirit, the title is apt, as the book does cover a much broader range of topics than a typical introductory book on mathematical statistics. This book is for people who want to learn probability and statistics quickly. It is suitable for graduate or advanced undergraduate students in computer science, mathematics, statistics, and related disciplines. The book includes modern topics like non-parametric curve estimation, bootstrapping, and classification, topics that are usually relegated to follow-up courses. The reader is presumed to know calculus and a little linear algebra. No previous knowledge of probability and statistics is required. Statistics, data mining, and machine learning are all concerned with collecting and analysing data.

Statistical Inference
Statistical Inference

Author: George Casella

Publisher: CRC Press

Published: 2024-05-23

Total Pages: 1746

ISBN-13: 1040024025

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This classic textbook builds theoretical statistics from the first principles of probability theory. Starting from the basics of probability, the authors develop the theory of statistical inference using techniques, definitions, and concepts that are statistical and natural extensions, and consequences, of previous concepts. It covers all topics from a standard inference course including: distributions, random variables, data reduction, point estimation, hypothesis testing, and interval estimation. Features The classic graduate-level textbook on statistical inference Develops elements of statistical theory from first principles of probability Written in a lucid style accessible to anyone with some background in calculus Covers all key topics of a standard course in inference Hundreds of examples throughout to aid understanding Each chapter includes an extensive set of graduated exercises Statistical Inference, Second Edition is primarily aimed at graduate students of statistics, but can be used by advanced undergraduate students majoring in statistics who have a solid mathematics background. It also stresses the more practical uses of statistical theory, being more concerned with understanding basic statistical concepts and deriving reasonable statistical procedures, while less focused on formal optimality considerations. This is a reprint of the second edition originally published by Cengage Learning, Inc. in 2001.

Collaborative Statistics
Collaborative Statistics

Author: Barbara Illowsky

Publisher: Createspace Independent Publishing Platform

Published: 2015-02-18

Total Pages: 0

ISBN-13: 9781508534136

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Collaborative Stastistics is intended for introductory statistics courses being taken by students at two- and four-year colleges who are majoring in fields other than math or engineering. Intermediate algebra is the only prerequisite. The book focuses on applications of statistical knowledge rather than the theory behind it. Barbara Illowsky and Susan Dean are professors of mathematics and statistics at De Anza College in Cupertino, CA. They present nationally on integrating technology, distance learning, collaborative learning, and multiculturalism into the elementary statistics classroom.

Rethinking Mathematics
Rethinking Mathematics

Author: Eric Gutstein

Publisher: Rethinking Schools

Published: 2005

Total Pages: 192

ISBN-13: 0942961544

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In this unique collection, more than 30 articles show how to weave social justice issues throughout the mathematics curriculum, as well as how to integrate mathematics into other curricular areas. Rethinking Mathematics offers teaching ideas, lesson plans, and reflections by practitioners and mathematics educators. This is real-world math-math that helps students analyze problems as they gain essential academic skills. This book offers hope and guidance for teachers to enliven and strengthen their math teaching. It will deepen students' understanding of society and help prepare them to be critical, active participants in a democracy. Blending theory and practice, this is the only resource of its kind.

Understanding Community Colleges
Understanding Community Colleges

Author: John S. Levin

Publisher: Routledge

Published: 2012

Total Pages: 290

ISBN-13: 0415881269

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Understanding Community Colleges provides a comprehensive review of the community college landscape--management and governance, finance, student demographics and development, teaching and learning, policy, faculty, and workforce development--and bridges the gap between research and practice. This contributed volume brings together highly respected scholars in the field who rely upon substantial theoretical perspectives--critical theory, social theory, institutional theory, and organizational theory--for a rich and expansive analysis of community colleges. The latest text to publish in the Core Concepts in Higher Education series, this exciting new text fills a gap in the higher education literature available for students enrolled in Higher Education and Community College graduate programs. This text provides students with: A review of salient research related to the community college field. Critical theoretical perspectives underlying current policies. An understanding of how theory links to practice, including focused end-of-chapter discussion questions. A fresh examination of emerging issues and insight into contemporary community college practices and policy.