There are numerous end of chapter problems, some with answers, available in this book. This text covers all the standard topics in a semester long introductory course in statistics. /Subtype/Type1 This site was developed at Rice University, University of Houston-Clear Lake, and Tufts University. Problem sets are appropriate for the level of learner. The chapters and topics may be used in a selective manner. Descriptive Statistics 1.1 Descriptive vs. Inferential There are two main branches of statistics: descriptive and inferential. endobj Y' = (0.425)(1) + 0.785 = 1.21. The authors have done a good job treating each chapter as if they stand alone. 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. This book covers all necessary content areas for an introduction to Statistics course for non-math majors. The terminology and notation used in the textbook is pretty standard. The on-line interface works well. Introduction of Statistics. Notation is standard and terminology is used accurately, as are the videos and verbal explanations therein. Statistics include numerical facts and figures. It may be up to the instructor to bring case studies into the readings we are going through the topics rather than wait until the end of the chapter. However, I think it would be possible to skip some chapters or use the chapters in a different order without any loss of functionality. The thirty three case studies are excellent and can be supplement with some other online case studies. I'm vacillating on whether these problems would be more useful if they were distributed after each relevant section or are better clumped at the end of the whole chapter. 306.7 766.7 511.1 511.1 766.7 743.3 703.9 715.6 755 678.3 652.8 773.6 743.3 385.6 << /FirstChar 33 With the advent of computers and software’s, complex statistical analysis can be done very easily. Reviewed by Suhwon Lee, Associate Teaching Professor, University of Missouri on 6/19/18, This book is pretty comprehensive for being a brief introductory book. 277.8 500 555.6 444.4 555.6 444.4 305.6 500 555.6 277.8 305.6 527.8 277.8 833.3 555.6 Download or read it online for free here: Download link (27MB, PDF) An instructor’s manual is available by request. It provides references and case studies. For instance page 464, 467 etc. The writing is very clear. These examples need to be corrected to reflect current inclusive teaching strategies. With the prerequisite information stated, the reader understands what prior mathematical understanding is required to successfully use the module. Please cite as: Online Statistics Education: A Multimedia Course of Study (http://onlinestatbook.com/). The chapter on regression is covered towards the end (chapter 14), but part of it can be covered sooner in the course. The textbook does not necessarily explain the derivation of some of the formulae and this will need to be augmented by the instructor in class discussion. However at the end of each of these sections there are a few multiple choice questions to test yourself. It covers the fundamental of the introductory statistics, however not a comprehensive text on the subject. 388.9 1000 1000 416.7 528.6 429.2 432.8 520.5 465.6 489.6 477 576.2 344.5 411.8 520.6 The only noticeable exception in this case was using the Java Applet for calculating Z values in page 261 and in page 416 an excerpt of SPSS analysis is provided for ANOVA calculations. The statistical literacy exercises are particularly interesting. Also in some cases, for instance page 109, the figures and titles are in two different pages. For X = 1, /Type/Font Overall, the topics are arranged in an order that follows natural progression in a statistics course with some exception. >> >> I very much appreciate this opportunity to use this textbook at no cost for our students. << read more. The writing is straightforward and standardized throughout the text and it makes reading easier. born. These examples should be corrected to reflect current values of inclusive teaching. Obviously, such students should be able to work through the details of 'hard' proofs and derivations. /Widths[525 525 525 525 525 525 525 525 525 525 525 525 525 525 525 525 525 525 525 SINGLE PAGE PROCESSED JP2 ZIP download. The earlier material is easy to find but not consistently referred to in the text. No matter what the software is, standard deviation is calculated the same way as it is always. The structure is very organized with the prerequisite information stated and upcoming learner outcomes highlighted. February 21, 2006; 2 Statistics and Research Design. This book is set very well in sections. 460 511.1 306.7 306.7 460 255.6 817.8 562.2 511.1 511.1 460 421.7 408.9 332.2 536.7 This text could be used as the primary text, for regular lectures, or as reference for a “flipped” class. There are no errors. This is a comprehensive book on statistical methods, its settings and most importantly the interpretation of the results. Framework for each chapter seems consistent with each chapter beginning with a set of defined topics, and each of the topic divided into modules with each module having a set of learning objectives and prerequisite chapters. 9 0 obj The case studies give examples of practical applications of statistical analyses. When the earlier matters need to be referenced, it is easy to find; no trouble reading the book and finding results, it has a consistent scheme. The text is not culturally insensitive or offensive in any way most of time. This textbook offers a fairly comprehensive summary of what should be discussed in an introductory course in Statistics. /Name/F4 Each of the modules have detailed learning objectives and prerequisite required. read more. Third revised edition. Reviewed by Ilgin Sager, Assistant Professor, University of Missouri - St. Louis on 1/14/19, As the title implies, this is a brief introduction textbook. To note is that the on-line e-book provides several calculators for the essential distributions and tests. (Such tables are readily available on the web.). ¯göcO.“‚hiR¹½°ET¤P”(I["Y/8BÃía…0%1‚=œ`=IÌ�_�Ä¦3¢‹
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C A self contained introduction to classical statistical theory. Despite being a mathematical text, the text is not overly burdened by formulas and numbers but rather has “readable feel”. It would have worked well for the general statistics courses I have taught in the past but is not as suitable for specialized introductory statistics courses for engineers or business applications. As of this writing there are 33 such case studies, and they cover a wide range of issues from health to racial, ethnic, and gender disparity. It was nice to see some topics such as power, sampling, research design and distribution free methods covered, as these are often omitted in abbreviated texts. Reviewed by Zaki Kuruppalil, Associate Professor, Ohio University on 2/1/18, This is a comprehensive book on statistical methods, its settings and most importantly the interpretation of the results. I like how each chapter has prerequisites and learner outcomes, this gives students a good idea of what to expect. << There is comprehensive hyperlinked glossary. 465 322.5 384 636.5 500 277.8 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 While progressing through the text systematically, this is not an issue, but when the reader chooses to skip modules and read select pages then returning to the previous state of information is not easily accessible. But it is a very challenging chapter for students. The contents and examples cited are clear and explained in simple language. The author does a great job of explaining nearly every new term or concept. Download link That is OK, they have separate texts for that! As students increasingly buy TI-89s or Inspires, these sections of the book may lose relevance faster than other parts. The book topics are up to date and in my opinion, will not be obsolete in the near future. The content is accurate and error free. /LastChar 196 I have tried this approach, and I now like this approach.

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