Introductory Statistics With R Pdf Download

Introductory Statistics

(26 reviews)

Barbara Illowsky, Cupertino, California

Susan Dean, Cupertino, California

Laurel Chiappetta, Pittsburgh, Pennsylvania

ISBN 13: 9781938168208

Publisher: OpenStax

Language: English

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CC BY

Reviews

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Reviewed by Emily Breit, Professor, Fort Hays State University on 10/13/21

The textbook covers the chapters you would generally find in a one semester statistics course. It provides general coverage of the content areas including: descriptive statistics, probability, CLT, confidence intervals, hypothesis testing, and... read more

Reviewed by Stanley Elias, Adjunct Professor, Massasoit Community College on 6/24/21

Quite comprehensive as an introductory text for non-technical students. It touches on topics not usually seen in an introductory text (hypergeometric and Poisson distributions, e.g.) The index is an effective search tool for finding specific... read more

Reviewed by Tingting Fang, Associate Professor, North Shore Community College on 6/23/21

This OER book covers all the required topics as an introductory statistics text. The content is well presented using examples, lots of exercises problems. After examples, there are Try it questions provided. This gives the students chance to check... read more

Reviewed by Isaias Sarmiento, Assistant Professor, Bunker Hill Community College on 6/7/20

This textbook is a bit different from other textbooks in its coverage of topics. Here are some observations: 1. The topic on ethics is addressed early in the textbook. (Most textbooks I have found don't pay much attention to ethics.) 2.... read more

Reviewed by Elaine Petrocelli, Adjunct Instructor, North Shore Community College on 5/27/20

This text is comprehensive for an Elementary Statistics course that is not geared toward math or engineering majors. It covers all the typical topics found in an Intro to Statistics book. The text includes an introduction and chapter... read more

Reviewed by Rachel Keller, Adjunct Instructor, Radford University on 1/21/20

This book is quite comprehensive for an introductory course. Many topics that are not typically covered in a survey course are included (e.g., the geometric, hypergeometric, and exponential distributions are included in addition to the ubiquitous... read more

Reviewed by Jamie McGill, Assistant Professor, East Tennessee State University on 10/31/19

The text is comprehensive for an Introduction to Statistics course. The topics include what is typically taught in a freshman level Probability and Statistics course. I compared the topics with those taught from our current textbook and there is... read more

Reviewed by Meryem Abouali, Adjunct lectruer, LAGCC on 5/10/19

This book does contain a table of contents and the main components necessary to cover the average course in statistics. It provides an effective index. read more

Reviewed by Thomas Blamey, Math Faculty, University of Hawaii Maui College on 5/8/19

I felt the textbook was as good as an publishers text in this introductory field. read more

Reviewed by Kim Spayd, Assistant Professor, Gettysburg College on 3/11/19

The very basic topics are included and a surprisingly large number of specific probability distributions. However, inferential topics are lacking. Sampling distributions are glossed over in a very unsatisfactory manner and their connection to... read more

Reviewed by Patricia Swails, Professor of Education, Oakland City University on 2/25/19

The text presents a comprehensive course in basic statistics. There is an index as well as a glossary and reference list after each chapter. Chapter sections are congruent across chapters, including collaborative exercises for group work,... read more

Reviewed by Kay Graves, Assistant Professor, Fontbonne University on 6/19/18

This Introductory Statistics book covers all the introductory areas/concepts very thoroughly with the exception of Counting methods such as permutations and combinations. These counting methods are not covered at all in the book and thus I must... read more

Reviewed by Peter Orgas, Adjunct Lecturer , LaGuardia Community College on 5/21/18

Introductory Statistics is comprehensive and includes all the topics needed for an introductory course in statistics. In the preface, you are given options on how to strategical present the topics during the semester rather than follow chapter by... read more

Reviewed by Jill Jamison Beals, Assistant Professor, George Fox University on 3/27/18

Introductory Statistics includes all the topics critical to a first course in college statistics designed for a wide range of majors and programs. It is complete in its coverage of the entire statistical process from sampling to application of... read more

Reviewed by Cathleen Battiste Presutti, Lecturer, Ohio University Lancaster on 2/1/18

This text covers almost all of the concepts required in an introductory or sophomore level statistics course. However, there is one topic omission that I feel should be included in a future edition is combinatorics. The inclusion of general... read more

Reviewed by Jonathan Bayer, Associate Professor, Virginia Western Community College on 4/11/17

This book is sufficiently comprehensive for a non-majors introductory statistics course. In terms of content, it offers an adequate number of topics and adequate explanations. However, the book offers very little regarding sampling distributions... read more

Reviewed by Caitlin Finlayson, Assistant Professor, University of Mary Washington on 4/11/17

The text covers all of the major concepts students would be expected to learn in an introductory statistics course including sampling and data, descriptive statistics, and inferential statistics. While the text might be overly comprehensive for a... read more

Reviewed by Sandra Porter, Math Instructor, Central Lakes College on 4/11/17

The text covers all of the topics that are included in the Minnesota Transfer Curriculum for an introductory statistics course. Calculator instructions for the TI- graphing calculator family are included in each section. The confidence interval... read more

Reviewed by Rudolf Lublinsky, Instructor, Portland Community College, Oregon on 8/21/16

This textbook covers all of the standard topics usually covered in ? descriptive and inferential statistics textbooks for non- mathematicians. The sequence is the same used in almost every such book. All subject areas addressed in the Table of... read more

Reviewed by Wendy Lightheart, Mathematics Faculty, Lane Community College on 8/21/16

This textbook covers all of the usual topics you would expect to cover in an introductory statistics course for non-math majors. There is a glossary available at the end of each chapter, which is very helpful. A comprehensive index is available in... read more

Reviewed by Jaejin Jang, Associate Professor, University of Wisconsin, Milwaukee on 1/7/16

A Statistics textbook mostly have a standard structure. This bookk covers major subjects of the course. Central limit theorem is given a whole chapter, which is good because of its importance. However, I would like to see these more. No... read more

Reviewed by Undupitiya Wijesiri, Professor, Southwest Minnesota State University on 6/10/15

This book covers all necessary content areas for an introduction to Statistics course for non-math majors. The text book provides an effective index, plenty of exercises, review questions, and practice tests. read more

Reviewed by Bill Heider, Instructor, Hibbing Community College on 6/10/15

This book covers all the topics typically covered in an introductory level statistics course from an introduction to probability and the basics f study design through sampling distributions, confidence intervals, tests of one and two samples for... read more

Reviewed by Edward Dillon, Instructor, Minneapolis Community and Technical College on 6/10/15

This textbook covers all of the standard topics usually covered in an undergradate introductory text including hyhothresis testing and ANOVA. The sequence is the same used in almost every such textbook. The index clearing describes the toppics... read more

Reviewed by Jacqueline Joslyn, Instructor/Teaching Assistant, University of Arizona on 6/10/15

The most important topics are covered. There are some concepts, like stem-and-leaf plots, that may be less critical for students in the social sciences to learn. Instructors can choose whether or not to skip the superfluous concepts. read more

Reviewed by Vance Revennaugh, Associate Professor, University of Northwestern - Saint Paul on 6/10/15

The text covers most of the areas and ideas of an introductory statistics course, The topics are covered at an appropriate depth. I did not find any work on confidence intervals for the population variance or standard deviation, although there... read more

Sampling and Data
Descriptive Statistics
Probability Topics
Discrete Random Variables
Continuous Random Variables
The Normal Distribution
The Central Limit Theorem
Confidence Intervals
Hypothesis Testing with One Sample
Hypothesis Testing with Two Samples
The Chi-Square Distribution
Linear Regression and Correlation
F Distribution and One-Way ANOVA

Ancillary Material

OpenStax

Introductory Statistics follows the scope and sequence of a 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, which has been widely adopted. Introductory Statistics includes 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 and memorable, so that students can draw a working knowledge from it that will enrich their future studies and help them make sense of the world around them. The text also includes Collaborative Exercises, integration with TI-83,83+,84+ Calculators, technology integration problems, and statistics labs.

OpenStax College has compiled many resources for faculty and students, from faculty-only content to interactive homework and study guides.