The order of chapters and sections is clear and logical. I am not sure how to evaluate this. The statistical literacy exercises are particularly interesting. These are provided in lieu of printed tables which are not included in the pdf. The earlier material is easy to find but not consistently referred to in the text.
However at the end of each of these sections there are a few multiple choice questions to test yourself. This book came out a number of years ago, but the material is still up to date. These examples should be corrected to reflect current values of inclusive teaching. In general, its investigations and analyses fall into two broad categories called descriptive and inferential statistics. But it is a very challenging chapter for students.The book's interface has no features that distracted me. There is no obvious material that may become “dated”. However, I think it would be possible to skip some chapters or use the chapters in a different order without any loss of functionality. It is also more commonly used nowadays. The writing is very clear. The textbook covers all chapters required in this level course. It is particularly well indexed and very easy to navigate. This low rating should not be taken as an indicator of an issue with this book but would be true of virtually any statistics book. As a text for an introductory course, standard topics are covered. The thirty three case studies are excellent and can be supplement with some other online case studies.
Topics are presented with examples, followed by exercises. It is suitable for an introductory statistics course for non-math majors.
As a text for an introductory course, standard topics are covered. Attributions" at the bottom of each page for copyright and licensing The content in textbook is up to date. The contents of the book seems accurate. Solid. Overall, this textbook will cover most of the topics in a survey of statistics course. Click the words "Licenses and I have tried this approach, and I now like this approach. There are a few areas that I might have found frustrating as a student. It would be helpful to have the statistical tables...This is a comprehensive enough text, considering that it is not easy to create a comprehensive statistics textbook. Minor grammatical errors such as missing prepositions etc. An effective index and glossary are included, with functional hyperlinks. The section on boxplots uses a lot of technical terms that I don't find are very helpful for my students (hinge, H-spread, upper adjacent value).The text is internally consistent with one exception that I noted (the use of the synonymous words "H-spread" and "interquartile range").The text book is brokenly into very short sections, almost to a fault. This work is in the public domain. The normal distribution is central to an introductory course. A teacher can use this book as the sole text of an introductory statistics....This book is pretty comprehensive for being a brief introductory book. "Interquartile range" is simply a better, more descriptive term of the concept that it describes. They are addressed logically and given adequate coverage.The text is free of any issues. But the challenge is the...This text covers all the standard topics in a semester long introductory course in statistics. There are numerous end of chapter problems, some with answers, available in this book. Overall, good text. It is particularly well indexed and very easy to navigate. The content of this text is accurate and error-free, based on a random sampling of various pages throughout the text. These examples need to be corrected to reflect current inclusive teaching strategies. The graphics are good to follow. This text adopts a descriptive style of presentation with topics well and fully explained, much like the “Dummy series”. My only concern is that the statistical tool most often referenced in the book are TI-83/84 type calculators. information specific to the material on that page. With the advent of computers and software’s, complex statistical analysis can be done very easily. The text is very readable.
However, I did not see anything offensive or biased in the book. The terminology and framework of the text is consistent. The terminology is standard with one exception: the book calls what most people call the interquartile range, the H-spread in a number of places.
Given that these topics are often sort of crammed in at the end of many introductory classes, that might not be problematic for many instructors. However, we would appreciate a citation where possible. There isn't much changing in the introductory stats world, so I have no concerns about the book becoming outdated rapidly.
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