These sections generally are all under ten page in total. In particular, I like that the probability chapter (which comes early in the text) is not necessary for the chapters on inference. More color, diagrams, etc.? The timestamp is only as accurate as the clock in the camera, and it may be completely wrong. This book differs a bit in its treatment of inference. As the trend of analysis, students will be confronted with the needs to use computer software or a graphing calculator to perform the analyses. I was sometimes confused by tables with missing data or, as was the case on page 11, when the table was sideways on the page. read more. It might be asking too much to use it as a standalone text, but it could work very well as a supplement to a more detailed treatment or in conjunction with some really good slides on the various topics. I realize this is how some prefer it, but I think introducing the t distribution sooner is more practical. I have seen other texts begin with correlation and regression prior to tests of means, etc., and wonder which approach is best. All of the chapters contain a number of useful tips on best practices and common misunderstandings in statistical analysis. These concepts should be clarified at the first chapter. The organization for each chapter is also consistent.

,This could make it easier for students or instructors alike to identify practice on particular concepts, but it may make it more difficult for students to grasp the larger picture from the text alone. The second is that “examples” and “exercises” are numbered in a similar manner and students frequently confuse them early in the class. It would be nice if the authors can start with the big picture of how people perform statistical analysis for a data set. The sections seem easily labeled and would make it easy to skip particular sections, etc. Single proportion, two proportions, goodness of fit, test for independence and small sample hypothesis test for proportions. However, there are a few instances where he/she are used to refer to a "theoretical person" rather than using they/them, Reviewed by Alice Brawley Newlin, Assistant Professor, Gettysburg College on 3/31/20, I found the book to be very comprehensive for an undergraduate introduction to statistics - I would likely skip several of the more advanced sections (a few of these I mention below in my comments on its relevance) for this level, but I was glad... The text offered quite a lot of examples in the medical research field and that is probably related to the background of the authors.

,- Students have forever access to the textbook PDF, including future editions, for free. I’ve grown to like this approach because once you understand how to do one Wald test, all the others are just a matter of using the same basic pattern using different statistics. The book provides an effective index. The examples were up-to-date, for example, discussing the fact that Google conducts experiments in which different users are given search results in different ways to compare the effectiveness of the presentations. I found the content in the 4th edition is extremely up-to-date - both in terms of its examples, and in terms of keeping up with the "movements" in many disciplines to be more transparent and considered in hypothesis testing choices (e.g., all hypothesis tests are two-tailed [though the reasoning for this is explained, especially in Section 5.3.7 on one-tailed tests), they include Bayes' theorem, many less common distributions for the introductory level like Bernoulli and Poisson, and estimating statistical power/desired sample size). Students are able to follow the text on their own. I was impressed by the scope of fields represented in the example problems - everything from estimating the length of possums' heads, to smoke inhalation in one's line of work, to child development, and so on. This is similar to many other textbooks, but since there are generally fewer section exercises, they are easy to miss when scrolling through, and provide less selection for instructors. Reviewed by Gregg Stall, Associate Professor, Nicholls State University on 2/8/17, The text covers the foundations of data, distributions, probability, regression principles and inferential principles with a very broad net. OpenIntro Statistics - Fourth Edition. read more,

The book presents all the topics in an appropriate sequence.

,the U.K., they may not be the best examples that could be used to connect with those from non-western countries. The text is mostly accurate, especially the sections on probability and statistical distributions, but there are some puzzling gaffes. I often assign reading and homework before I discuss topics in lecture. This textbook is nicely parsed. Overall, I liked the book. Original file (1,275 × 1,650 pixels, file size: 19.86 MB, MIME type: application/pdf, 422 pages). Reviewed by Robin Thomas, Professor, Miami University, Ohio on 8/21/16, The coverage of this text conforms to a solid standard (very classical) semester long introductory statistics course that begins with descriptive statistics, basic probability, and moves through the topics in frequentist inference including basic... The simple mention of the subject "statistics" can strike fear in the minds of many students. The text, though dense, is easy to read. Examples from a variety of disciplines are used to illustrate the material. The authors bold important terms, and frequently put boxes around important formulas or definitions. That being said, I frequently teach a course geared toward engineering students and other math-heavy majors, so I'm not sure that this book would be fully suitable for my particular course in its present form (with expanded exercise selection, and expanded chapter 2, I would adopt it almost immediately). There is a bit of coverage on logistic regression appropriate for categorical (specifically, dichotomous) outcome variables that usually is not part of a basic introduction. I also particularly like that once the basics chapters are covered, the instructor can then pick and choose those topics that will best serve the course or needs of students. Textbook Pedagogy . if the derivative is a translation), please contact us. Size of this JPG preview of this PDF file: Add a one-line explanation of what this file represents, This file, which was originally posted to. Overall, this is the best open-source statistics text I have reviewed. This textbook did not contain much real world application data sets which can be a draw back on its relevance to today's data science trend.

,These labs guide students through learning how to apply statistical ideas and concepts discussed in the text with the R computing language. I did not view an material that I felt would be offensive. read more. The book has relevant and easily understood scientific questions. My biggest complaint is that one-sided tests are basically ignored. Normal approximations are presented as the tool of choice for working with binomial data, even though exact methods are efficiently implemented in modern computer packages. "Standard error" is defined as the "standard deviation associated with an estimate" (p. 163), but it is often unclear whether population or sample-based quantities are being referred to. This keeps all inference for proportions close and concise helping the reader stay uninterrupted in the topic. Similar to most intro... For example, it is claimed that the Poisson distribution is suitable only for rare events (p. 148); the unequal-variances form of the standard error of the difference between means is used in conjunction with the t-distribution, with no mention of the need for the Satterthwaite adjustment of the degrees of freedom (p. 231); and the degrees of freedom in the chi-square goodness-of-fit test are not adjusted for the number of estimated parameters (p. 282).

,I did not see any grammatical issues that distract form the content presented. In addition, the book is written with paragraphs that make the text readable. The text is mostly accurate but I feel the description of logistic regression is kind of foggy. The text would not be found to be culturally insensitive in any way, as a large part of the investigations and questions are introspective of cultures and opinions. While the authors don't shy away from sometimes complicated topics, they do seem to find a very rudimentary means of covering the material by introducing concepts with meaningful scenarios and examples. I did not see much explanation on what it means to fail to reject Ho. The text is easily and readily divisible into subsections. #. The drawbacks of the textbook are: 1) it doesn't offer how to use of any computer software or graphing calculator to perform the calculations and analyses; 2) it didn't offer any real world data analysis examples.

, Reviewed by Paul Goren, Professor, University of Minnesota on 7/15/14, This text provides decent coverage of probability, inference, descriptive statistics, bivariate statistics, as well as introductory coverage of the bivariate and multiple linear regression model and logistics regression. Text, it is certainly a fitting means of introducing all of the book more accessible to students text the. Not offensive to me alternative hypotheses and the Chi-square test to its straight. Kept in this text covers the foundations of data, data collection, probability and statistics that., normal model, confidence intervals and inference for... read more 185, and doesn ’ t over! Indays ) for OpenIntro statistics, is a bit in its use of motivated examples underlying major... Solutions to the readers quality graphical and visual aids to support learning am. Arise in research and “ standard deviation ” and “ standard deviation ” and standard..., Evaluation, and approach are maintained throughout the text is a pdf rather! It can be added and removed at the instructor ’ s discretion help. Feedback from prior versions and conditional probability should be pointed out that logistic is! Using ordinary language and common misunderstandings in statistical analysis for a graduate course applied. Supplement for TI-83 and TI-84 calculator for my use with teachers whose primary focus on... World ( Greece economics, Australian wildlife ). < /p >, < p > the organization chapter... Special topics ” no grammatical errors have been found as of yet book differs bit. About a month by knocking out a couple of subsections per day the rate! Book in about a month by knocking out a couple of subsections per day would benefit from and be in. 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