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Online stat book1/23/2024 ![]() The real data sets examples cover different topics, such as politics, medicine, … etc. I use this book in teaching and I did not find any issues with accuracy, inconsistency, or biasness. The chapters are well organized and many real data sets are analyzed. If the volunteer sample is covered also that would be great because it is very common nowadays. One of the good topics is the random sampling methods, such as simple sample, stratified, cluster, and multistage random sampling methods. This book covers almost all the topics needed for an introductory statistics course from introduction to data to multiple and logistic regression models. Reviewed by Hamdy Mahmoud, Collegiate Assistant Professor, Virginia Tech on 5/16/22 OpenIntro Statistic is a very good book for introductory statistics classes. I did not find this book culturally insensitive or offensive. I did not have any interface issues, navigation problems or any features that distract or confuse me. Because of this logical flow of the chapters, it is very easy to follow this book. I like the structure of this book and the chapters are organized well. In this book, I noticed the sections and the sub sections are concise and clear. I did not find any consistency issues in this book. ![]() I would like to see a better explanation on hypothesis test before we move on to hypothesis testing on proportions or means. For example, inference is something that students struggle a lot. There were some sections I would love to see a better explanation or more examples. Topic lineup and teaching methods are different from person to person. Overall clarity of this book is admirable. I do not think this book needs any major changes recently. Examples and questions can be update as time changes. Questions/examples in this book cover a wide range of area. ![]() ![]() These concepts will not change within a short period of time. This book contains basic concepts in statistics. I did not find any accuracy issues in this book. I could not find counting techniques in this book. This covers almost all the topics that should cover in an introductory statistics course. This book includes introduction to data, summarizing data (numerical and graphical), probability, distributions of random variables, inference for categorical and numeric data, linear regression, multiple linear regression and logistic regression. Reviewed by Sanduni Palliyage, Lecturer, James Madison University on 9/5/23 Journalism, Media Studies & Communications +. ![]()
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