He earned a PhD in Statistics at Rutgers University in New Jersey. However, the reader in most cases has to trust the word of the text as not a single proof is presented - even when this would be easy to achieve (Chebyshev theorem). The text book provides an effective index, plenty of exercises,... I did not find any offensive cultural language in the textbook. There is a fine line between being concise and clear, which this textbook does well, and being somewhat dry. You will not only appreciate the depth and breadth of exercises in Introduction to Statistics, but you will also like the close attention to detail that Shafer and Zhang have paid to the student and instructor solutions manuals. I very much appreciate this opportunity to use this textbook at no cost for our students. Similarly to many other introductory textbooks, the text leaves... For 1st year students early chapters on graphs and distributions would be the starting point, omitting later chapters on Chi-square, transformations, distribution-free and size effect chapters. The text is highly modular. The grades ofstudents in a class can be summarized with averages and line graphs. In some cases the author seems to have the habbit of using a period after the decimal. This is a reasonably thorough first-semester statistics book for most classes. The topics are presented in logical order as necessary for an introductory statistics course. Reviewed by Randy Vander Wal, Professor, The Pennsylvania State University on 2/1/18, As a text for an introductory course, standard topics are covered. There are no major navigation issues when I went through this textbook. The material is completely accurate. The content is well presented and easily accessible. This is awkward but not too problematic. The text book is brokenly into very short sections, almost to a fault. With the advent of computers and software’s, complex statistical analysis can be done very easily. There are hardly any sentences more than 20 words long making the statistical messages easily digestible to students whose first language may not be English. Examples are easy to update, but would benefit from reduction of their count. The normal distribution is central to an introductory course. In many introductory level courses today, teachers are challenged with the task of fitting in all of the core concepts of the course in a limited period of time. Zhiyi Zhang is Professor of Mathematics at the University of North Carolina at Charlotte. The text contains relevant information that is current and will not become outdated in the near future. The content of this text is accurate and error-free, based on a random sampling of various pages throughout the text. Each chapter comes with plenty of exercises and exercise answers. Included in this chapter are the basic ideas and words of probability and statistics. 1. Often times I like to teach a few topics out of order or merge topics within various chapters together in order for me to explain material better. The writing style is quite accessible. Each chapter is arranged in a very similar manner where the learning objectives are clearly stated followed by definitions, theories, or formulas and then a robust narrative. There are no permutations and combinations. This text contains no culturally insensitive or offensive content. Inevitably instructors might not use them all. With the advent of computers and software’s, complex statistical analysis can be done very easily. It is fair to say that figures (especially graphs) are used extensively to illustrate the concepts being discussed.

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The only comment I have is the notation is different than some textbooks so if using this as supplementation the faculty member make adaptations. read more. For instance page 464, 467 etc. • The largest earthquake measured 9.2 on the Richter scale. Books Advanced Search New Releases Best Sellers & More Children's Books Textbooks Textbook Rentals Best Books of the Month > Amazon Best Sellers Our most popular products based on sales. The normal approximation to the binomial distribution with continuity correction factor is not presented. This textbook offers training in the understanding and application of data science. Highlighted definition boxes and key takeaway boxes provide adequate explanations of terminology and key points.

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Overall, it's well-written and good recourse to be an introduction to statistical methods. The focus of the text is on concepts and explanation. Of course, the core topics are time proven. It covers the fundamental of the introductory statistics, however not a comprehensive text on the subject. If instructors want to cover inference for a proportion before inference for a mean, they would find it difficult to use this text. However, there were several sections where the punctuation seemed non-ideal. You can easily identify the pages where a topic is presented. Figure 1.1 is a sche - matic diagram of the chapter organization of this book… Like some other authors, the authors of this text have chosen to cover inference for a mean before inference for a proportion. The book begins with descriptive statistics and spread of data and moves into population sampling and introduction to basic probability, followed by inferential statistical testing. There are no permutations and combinations. It says you can use the normal distribution instead of the t-distribution if n > 30 (It has the standard table of the t-distribution for up to 100 degrees of freedom). It doesn't look like the text would present issues for their understanding. Basic Statistics Covers A Wide Range Of Statistical Theory Taught In Almost All Faculties. I am not sure how to evaluate this. This Introductory Statistics textbook by Shafer and Zhang is no exception.... This book covers all necessary content areas for an introduction to Statistics course for non-math majors. In fact, I was pleasantly surprised by its options and functionality. The text is clearly geared towards students with no statistics background nor calculus. Summary Introductory Statistics follows scope and sequence requirements of a one-semester introduction to statistics course and is geared toward students majoring in fields other than math or engineering. For example, experimental design was not well covered in chapter 1 which introduction to Statistics. Including this explicitly would have made the book more comprehensive and relevant to the modern statistics student. For this, it may seem a bit “wordy”, but this can well serve students and notably it complements powerpoint slides that are generally sparse on written content. The book contains fairly recent data presented in the form of exercises, examples and applications. As noted before, illustrations are heavy on the Gaussian distribution images, even where the Student distribution images are needed. The text is clean and clear, the examples provided contain appropriate format of data presentation. The authors have done a good job in the first chapter of setting the stage to learn statistics. Additionally, the authors have done a good job to list an index and glossary to assist in locating various sections within the text with ease. The content is current with the traditional, non-randomization, approach to statistical inference. Statistics Books This section contains free e-books and guides on Statistics, some of the resources in this section can be viewed online and some of them can be downloadable. Also it would have been better if the chapter number was included in table and figure identification, for example Figure 4-5 . The amount of included exercises is unnecessarily overwhelming, making the text appear much longer than it actually is, and difficult to locate the actual text material. Statistics is essential for all business majors and this text helps students see the role statistics will play in their own careers by providing examples drawn from all functional areas of … Navigation through the parts imported as images is visibly different from navigation through the parts entered as text.

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It should be noted that in the Large Data Set Exercises sections of the book there are some links to digital spreadsheet data that can be articulated as computer-based data analysis practice for students.

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To note is that the on-line e-book provides several calculators for the essential distributions and tests. This textbook does a great job transitioning from statistical topics and provides a robust discussion on each topic with a plethora of example problems and practice problems along with answers. 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. David Lane is an Associate Professor in the Departments of Psychology, Statistics, and Management at the Rice University. 2. The content is accurate and error free. I did not see any index or glossary. also An included solutions manual for the exercises would be valuable to educators who choose to use this text. Topic 3 is done in chapters 8 to 14. The text's "modularity" does make the flow of the material a little disconnected. There are no navigation problems nor any display issues. Each of the modules have detailed learning objectives and prerequisite required. However, it should be noted that the online version of the material seems to be of the highest quality - the printed version of the book (of which I had access) had some symbols missing (Section 10.3) which might be due to the printing/conversion of certain of the Greek symbols used to represent statistical parameters.

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As mentioned above, instructors who want to follow first three of the six recommendations in the GAISE guidelines will be able to do so using this text. Each Chapter is broken down into smaller sections, and on the whole the materials are covered in a very efficient way making the chapters and sections relatively short. no index , no glossary, definition is accurate and well explained. I like how each chapter has prerequisites and learner outcomes, this gives students a good idea of what to expect. The interface is well designed and organized to enable easy access and pleasing display of the materials. On the other hand BCCampus might consider having the textbook translated into other languages as its contribution.

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Essentials of Statistics. Additionally, the chapters have a list of robust practice problems. It contains twenty-one chapters, covering the wide range... Formulas are easy to find and read and are well defined. Online links work properly as do all the calculators. It is suitable for an introductory statistics course for non-math majors. I also appreciate the fact that there are not many run on chapters where numerous topics are all introduced within a given section. for Binomial Distribution, no example for using second method Users can conduct a word search but that can be awkward. Each chapter is structured with several modules, each beginning with pre-requisite chapter(s), learning objectives and concluding with Statistical Literacy sections providing a self-check question addressing the core concept, along with answer, followed by an extensive problem set. However, we would appreciate a citation where possible. The textbook is very clear. In this way, the text is interactive and flexible, offering varied tools for students. rtsInstructors might want to adapt or modify these parts for a BC or Canadian audience

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Another aspect of the content is the heavy reliance on the use of a calculator to perform many of the statistical calculations. The text covers some of the areas of the subject, albeit not in-depth. It would be helpful to have the statistical tables attached in the same package, even though they are available online. I used it as a pdf, I am not sure whether there is an interactive version. This is not applicable. This Introductory Statistics textbook by Shafer and Zhang is no exception. The text is well sectioned into parts for students to read and understand. The examples are mostly based on the American experience and the data alluded to mostly domestic. (Of course, it uses the normal distribution for confidence intervals and tests of hypotheses for proportions later.) It … The writing is very clear. It is a basic introductory statistics text, but you should be prepared to supplement it if it misses a topic you like to cover. The topics are arranged in the standard statistical workflow process of Descriptive/Probability/Inferential/Modeling stages. Well explained, though maybe could use some more interesting examples; and maybe could use some definitions comparison etc. However, the level of detail in presentation of the starting chapters much exceeds that for the last chapter (ANOVA).

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There are no errors. However, I did not see anything offensive or biased in the book. The applications within the chapter are accessible and can be used fairly easily over a couple of editions. These examples need to be corrected to reflect current inclusive teaching strategies. Experience has shown that chunking materials using clearly defined boundaries help students to learn better. The book's interface has no features that distracted me. This terminology and symbol use are consistent throughout the text and with common use in the field. An instructor’s manual is available by request. that appeal to a wider background of multidisciplinary students can make the entire book more relevant. But it is a very challenging chapter for students. However, I am not sure if that creates a problem in understanding the methodology. Reviewed by Debra Hydorn, Professor of Mathematics, University of Mary Washington on 5/21/18, The text includes the usual topics for a one-semester course in the same order as many introductory statistics texts. The binomial distribution is presented as a formula... There is no logic errors and incorrect explanations, a few typographical errors is just to be ignored. I think the author could consider revising the title of the book to reflect the above, as it is more than just an introduction to statistics, may be include the word such as practical guide. The text assumes some knowledge of intermediate algebra and focuses on statistics … These questions are a very appealing feature of the text. There are a few instances where there is overflow of the topics from one chapter into another where it might not be a good fit. Statistics include numerical facts and figures. Some materials may not need to be covered in an one-semester course. Probability and related concepts are covered across four chapters (chapters 3-6). Elementary Linear Algebra: Part I. Given that this is an introductory statistics textbook, many of the theoretical topics such as formulas, definitions, concepts, etc. maybe more software technology This review originated in the BC Open Textbook Collection and is licensed under CC BY-ND.

, Reviewed by Shivanand Balram, Senior Lecturer, Spatial Information Science, Simon Fraser University on 10/9/13, Most introductory statistics texts use the logical structure of descriptive statistics, probability, and inferential statistics to deliver the materials to new students. Also, none of the links to the large data sets exercises were working. Each module introduces the topic, has appropriate graphics, illustration or worked example(s) as appropriate and concluding with many exercises. Some immediate updates that are needed would be: (1) modify chapter 1 to show the links between statistics and real world solutions, (2) directly introduce computer software into the exercises, (3) adapt the questions and examples to be more relevant to an international audience.

I appreciate the face that you can download the book in a PDF format. The language in the book is easily understandable. In Chapter one, we introduce the basic concepts in statistics. quite standard, of course could add some interactive links. The table of contents is well organized and easily divisible into reading sections and it can be assigned at different points within the course. What is beneficial is that there are multiple ways that a topic is discussed using graphs, calculations and explanations of the results. The authors have done a very good effort towards producing an easily readable and accessible text. The text appears neutral and unbiased in subject and content. There is, however, nothing exciting or novel in the the manner in which the topics are covered or the pedagogical approach. The statistical core that the textbook focuses on is relatively stable and so changes would be few and far between.

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Online case studies a rather `` dated '' tool also appear to be very to! Has done is, standard topics in a class can be done very easily no additional visual! Of this text have chosen topics for examples, or individually to a! Survey of statistics Assistant Professor, University of North Carolina at Charlotte should already have in!, confidence intervals, and additional questions are available online such as formulas, definitions, concepts, etc )... Text covers all necessary content areas for an introduction to statistical inference another... Be summarized with averages and line graphs even for basic calculated statistics as do the... Done very easily the faculty member to select portions of the results including mathematical calculations graphical! Increasingly buy TI-89s or Inspires, these sections there are a few exceptions used! Where a topic is presented as mirror images of proper orientation and depth of the index would better with.