Comprehensiveness rating: 3 read less
This textbook does contain a table of contents, but no index or glossary. Unfortunately, it does not cover all areas of statistics. It is designed "to help students understand how statistics works, not just how to "get the right number". In doing so, this book provides very good real-world examples of how statistics are applied.
Accuracy rating: 5
The author brings over 30 years of experience teaching statistics. The content appears to be accurate, error-free and unbiased.
Relevance/Longevity rating: 5
Even though this textbook was written in 2010, the content is and should continue to be relevant. I don't anticipate the terminology for statistics to change much. Also, examples used throughout this book are generic enough that different demographic groups reviewing this material will find it easy to understand. For instance, one example of a sample population the text uses includes athletes (basketball, volleyball) and sock sizes used. Easy to comprehend. The examples are not dated.
If there ever were a need to update the material, it would be pretty straightforward to do so.
Clarity rating: 5
The text is written as though the author is having a direct conversation with you in one of his intro to statistics courses. There is a comfortable, natural flow to it. The author knowingly anticipates when clarification is needed and provides greater detail and additional examples that are easy for the reader to comprehend.
Consistency rating: 5
Each chapter in the text is consistent in it's framework and terminology. Terminology is identified in bold lettering followed by their corresponding definitions. Topic headings within each chapter are shaded blue for easy identification.
At the beginning of the textbook, the author introduces the reader to a fictitious manufacturing company, Foothill Mills. Throughout the book, a couple of managers and their boss solve real-world business problems using statistics. It makes the material believable, easier, and consistent to follow when the same characters are used throughout the book.
Modularity rating: 5
The author's intention is to be able to use the chapters in this textbook in no particular order. Therefore, instructors will have an opportunity to realign chapters to fit their lesson plans. Subheadings are provided and shaded in blue for the reader to easily identify. I did not find enormous blocks of text without subheadings, making it easier to read.
Organization/Structure/Flow rating: 5
Topics are presented in a logical, clear manner. Concepts of descriptive statistics, for example, are covered at the beginning of the book, before inferential statistics. It allows the reader to reach an understanding of how raw data is collected and utilized before turning it into information. Information gathered can then be used to form an opinion, or infer, about a population. Topics continue to flow smoothly as the reader moves through the book. By the end of the book, many of the topics are tied together, building on the reader's comprehension of the material.
Interface rating: 2
I did find several interface issues. Several of the formulas, spreadsheets, and tables are split between two pages. It makes it more difficult for the reader to comprehend. It would have been more appropriate to display each of these features on the same page.
I also found sentences, multiple times, at the bottom of a page that ask the reader to "see below". In actuality, the reader must turn the page to "see below" a formula, spreadsheet, etc... This is somewhat confusing and distracting at times, having to flip back and forth between two pages.
Grammatical Errors rating: 5
I did not find any grammatical errors. Spelling, capitalization, punctuation and symbols were properly used.
Cultural Relevance rating: 5
The examples used throughout the textbook are inclusive. I did not find the book to be insensitive or offensive in any way.
I appreciated the manner in which the author wrote. I felt like he was talking directly to me, using general terms and examples I could relate to. He definitely considered the needs of his audience when presenting this material. I would use this textbook as a supplement to a current textbook I use. There are plenty of great examples, explanations, and definitions to terminology that would be helpful for my students to gain a better understanding of statistics.