OTA statistics show that soon 43% of people who aren’t booking their hotel rooms online … Library chose this site to Descriptive statistics … The stats most people learn in high school or college come from the time when computations … For example, experimental design was not well covered in chapter 1 which introduction to Statistics. The normal approximation to the binomial distribution with continuity correction factor is not presented. Each section includes a sufficient number of exercises. I could find no grammatical or spelling mistakes in this text.

,

CC BY-NC-SA, Reviewed by Zhifang Yin, Instructor, Bunker Hill Community College on 6/8/20, Overall the book is quite solid. It has been provided for free as a public service since 1995. The coverage in each topic is very competent and clear. I found most instructions in the book to be very detailed and clear for students to follow. We recommend using a citation tool such as this one. Reviewed by Russell Campbell, Associate Professor, University of Northern Iowa on 12/5/16, I did not see any index or glossary. You will not only appreciate the depth and breadth of exercises in Introduction to Statistics, but you will also like the close attention to detail that Shafer and Zhang have paid to the student and instructor solutions manuals. Collectively these topics form a useful (and standard) foundation for learning statistics. For example, experimental design was not well covered in chapter 1 which introduction to Statistics. Should holders wish to contact the Publisher, we will be happy to come to some arrangement with them. 2. read more. It says you can use the normal distribution instead of the t-distribution if n > 30 (It has the standard table of the t-distribution for up to 100 degrees of freedom). The text is quite consistent in its terminology and structure. Given that this is an introductory statistics textbook, many of the theoretical topics such as formulas, definitions, concepts, etc. The interface of the book is very good, however the graphics could have been improved by adding some good images and diagrams. On the other hand BCCampus might consider having the textbook translated into other languages as its contribution.

,

In the Acknowledgments section the authors listed at least 16 individuals linked to higher education that have provided feedback and suggestions for improving the materials. 3. for Binomial Distribution, no example for using second method The examples and exercises are often US-centric. It is a basic introductory statistics text, but you should be prepared to supplement it if it misses a topic you like to cover. no Poisson distribution, all. Navigation through the parts imported as images is visibly different from navigation through the parts entered as text.

,

quite standard, of course could add some interactive links. labs. Correlation and regression are at the end; that is where I cover it even in texts where it is chapter 4. There were acouple of typos like x-bar with the bar after instead of above the x in one place,but that was not a significant problem. He teaches a range of mathematics courses as well as introductory statistics. Inferential Statistics. Content is very competent, accurate, error-free, and unbiased. slides. This work is in the public domain. Princeton Review AP Statistics Prep, 2021: 4 Practice Tests + Complete Content Review + Str… The writing in this text is clear and the organization of material is logical

,

Many of our students do not have English as a first language. Solutions for the exercises at the end of each section appear to be error-free. Lane, Rice University. Like these examples, most of the other unusual features are minor in impact so that instructors can work around them. The only comment I have is the notation is different than some textbooks so if using this as supplementation the faculty member make adaptations. He earned a PhD in Statistics at Rutgers University in New Jersey. The text covers some of the areas needed for an Introduction to Statistics or Elementary Statistics. A particularly useful feature is the learning objective that has been given for each Section.

,

Each chapter is arranged in a very similar manner where the learning objectives are clearly stated followed by definitions, theories, or formulas and then a robust narrative. This text was not culturally insensitive or offensive in any way but I do think it could have been a little more culturally diverse in it's examples. Study statistics online free by downloading OpenStax's Introductory Statistics book and using our accompanying online resources. The online Table of Contents also provide a consistent means to access these materials in an easily accessible way.

,

The content in textbook is up to date. Elementary statistics books Our free elementary statistics books will help you acquire a better understanding of the core concepts of statistics. OpenIntro Statistics is a dynamic take on the traditional curriculum, being successfully used at Community Colleges to the Ivy League. The text is not culturally offensive in any way. The histogram material could have been merged with the data presentation materials of Chapter 1, and maybe added newer presentation forms such as maps and sparklines, to have a more comprehensive data presentation chapter. Most introductory statistics texts use the logical structure of descriptive statistics, probability, and inferential statistics to deliver the materials to new students. Topic 2 is chapters 3 through 7. The examples and exercises that wrap around the statistical core could use some modifications. The contents in the book is very consistent from beginning to the end. A Refresher Course in Mathematics. The text covers some of the areas of the subject, albeit not in-depth. Providing answers within a textbook is a plus because most other textbooks make you buy a solutions book, adding to unnecessary costs. The textbook is broken into smaller chunks. I did not see any index or glossary. This textbook covers all of these topics. Position of the mean on the illustration of a bimodal distribution (page 92) is incorrect. feature as their. It looks like an instructor could skip or reorder sections without there being a problem.

,

Over time the core content of this course has developed into a well-defined body of material that is substantial for a one-semester course. The book is organized so well that it would be extremely easy to add new information or modify existing information very easy without disturbing the flow of the content that is currently presented. I used it as a pdf, I am not sure whether there is an interactive version. His research activities in Statistics have been supported by National Science Foundation, US Environmental Protection Agency, Office of Naval Research, and National Institute of Health. The statistical core that the textbook focuses on is relatively stable and so changes would be few and far between. Making these changes to the existing online HTML files would be relatively easy and straightforward to implement.

,

I appreciate the face that you can download the book in a PDF format. Although a few items were placed in a different position from standard Statistic books, the flow was logical. read more,

The use of formulas is demonstrated well. Similarly to many other introductory textbooks, the text leaves... Understanding Statistics. "Statistics for Research has other fine qualities besides superior organization. This review originated in the BC Open Textbook Collection and is licensed under CC BY-ND.

, Reviewed by Shivanand Balram, Senior Lecturer, Spatial Information Science, Simon Fraser University on 10/9/13, Most introductory statistics texts use the logical structure of descriptive statistics, probability, and inferential statistics to deliver the materials to new students. This is a problem with similar introductory statistics textbooks that assume no prior knowledge of algebra.

,

For example, regression analysis is covered in a chapter later in the book after introducing statistical inference. Access for free at https://openstax.org/books/introductory-statistics/pages/1-introduction; Citation information. There is an introduction chapter (chapter 1) that sets out the main definitions and conceptual foundation for the rest of the book. British Library Cataloguing in Publication Data A modern introduction to probability and statistics. The topics are arranged in the standard statistical workflow process of Descriptive/Probability/Inferential/Modeling stages. When comparing this book with other introductory statistics textbooks, the manner in which content is presented and the reading level utilized within each chapter is very comparable and in some cases even more simplistic than other textbooks. It is certainly arranged in ways that would make altering it -- for example, to update it or make less US-centric it -- pretty straightforward.

,

As another example, residuals in regression analysis are referred to only as "errors." The authors have gone great lengths towards ensuring error-free and unbiased content. The authors have chosen to cover topics in the same order as many other statistics texts. Topics are well motivated and discussion usually includes useful diagrams or graphs when appropriate. Examples are easy to update, but would benefit from reduction of their count. Douglas Shafer is Professor of Mathematics at the University of North Carolina at Charlotte. Aesthetically, the book could use a few modern edges to make it easier for the student. Mathematical statistics … read more,

Glossary is not provided other than chapter-by-chapter.

,