Use the information below to generate a citation. Any opinions, findings, and conclusions or recommendations expressed in this material are those of You can easily identify the pages where a topic is presented. Navigation through the parts imported as images is visibly different from navigation through the parts entered as text.
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To add to the difficulty, many textbooks contain an overabundance of material, which not only results in the need for further streamlining, but also in intimidated students. It covers the basic descriptive statistics, probability, and inferential statistics of an introductory course. read more, Overall the book is quite solid. I did not find any errors in the formulas, but the notation and terminology are sometimes non-traditional. This textbook is highly modular, such that instructors combine or use different sections to teach the class and the students will still understand the material at a higher level. Topic 1 is chapters 1 and 2. It has been provided for free as a public service since 1995. He teaches a range of mathematics courses as well as introductory statistics. Finally, I think this book has a great organization, nice examples, and almost a "workbook" approach to the homework helping students step by step. And like other texts, the authors don't provide as much detail about inference for a proportion as they do about inference for a mean. Probability and related concepts are covered across four chapters (chapters 3-6). The jargon and terminology that is used is explained thoroughly especially as it pertains to definitions and concepts. Aesthetically, the book could use a few modern edges to make it easier for the student. I did not find any offensive cultural language in the textbook. Most introductory statistics texts use the logical structure of descriptive statistics, probability, and inferential statistics to deliver the materials to new students. OpenIntro Statistics is a dynamic take on the traditional curriculum, being successfully used at Community Colleges to the Ivy League. The examples and the statistical methods are laid out with unusual clarity by the simple device of using special formats for each. Shafer and Zhang wrote Introductory Statistics by using their vast teaching experience to present a complete look at introductory statistics topics while keeping in mind a realistic expectation with respect to course duration and students' maturity level. 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. "Statistics is the branch of scientific method which deals with the data obtained by counting or measuring the properties of populations of natural phenomena. This probability textbook … Mobile Whether this approach is appropriate for an introductory course, depends on the plan for the further study. few things: rtsInstructors might want to adapt or modify these parts for a BC or Canadian audience
,slides. For example, experimental design was not well covered in chapter 1 which introduction to Statistics. The text looks like a professionally published textbook. There is a good index and glossary. The text includes the usual topics for a one-semester course in the same order as many introductory statistics texts. This would make a very good supplement to another text and is very reader friendly. Version in PDF Additionally, there were no major issues found with the example problems or the solutions to the questions within the various chapters. The histogram material could have been merged with the data presentation materials of Chapter 1, and maybe added newer presentation forms such as maps and sparklines, to have a more comprehensive data presentation chapter. The text covers some of the areas needed for an Introduction to Statistics or Elementary Statistics. I was pleasantly surprised how easily it was to navigate, click on tables and refer back to formulas. Therefore in writing Introduction to Statistics they have sought to present only the core concepts and use a wide-ranging set of exercises for each concept to drive comprehension. The book is organized so well that it would be extremely easy to add new information or modify existing information very easy without disturbing the flow of the content that is currently presented. Whether this approach is appropriate for an introductory course, depends on the plan for the further study. 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. Many of the exercises and examples use concepts (SAT scores for example) and data that are best understood within the context of the United States. Introdotory Statistics Concepts, Models, and Applications (David W. Stockburger) Concepts and Applications of Inferential Statistics … This Introductory Statistics textbook by Shafer and Zhang is no exception. Overall the book is quite solid. One aspect of the content that might be useful to include is the bigger picture notion of: How is statistics used in the real world? (Of course, it uses the normal distribution for confidence intervals and tests of hypotheses for proportions later.) For example, in hypothesis testing the level of significance is included as part of the alternate hypothesis rather than as a separate step in the testing process. The Data Science Textbook was formerly known as StatSoft's Electronic Statistics Textbook. I find it annoying that the authors expect the student to use the computationally efficient formulas for the variance, correlation, etc. Please cite as: Online Statistics … OpenIntro Statistics. covered will not change over time and as a result this text book will not need to be altered within a short period of time. The online Table of Contents also provide a consistent means to access these materials in an easily accessible way.
,The textbook is very clear. Statistics 10th Edition. I could find no grammatical or spelling mistakes in this text.
,It is an open access peer-reviewed textbook intended for undergraduate as well as first-year graduate level courses on the subject. Providing answers within a textbook is a plus because most other textbooks make you buy a solutions book, adding to unnecessary costs. Blast Into Math! Consistent with math notation is very import so it is positive to see this in this condensed stat book. This book allows for me to have this flexibility since there many sub-sections or units. He earned a PhD in Statistics at Rutgers University in New Jersey. The topics are presented in logical order as necessary for an introductory statistics course. Online Statistics: An Interactive Multimedia Course of Study is a resource for learning and teaching introductory statistics. e-book (for IOS and OS X). The modularity of the textbook is one of the best features that distinguish this book from others in the subject content area. Content is marginally up-to-date. This text covers all the necessary points in an introductory Statistics glass with a well organized, user friendly index. Although a few items were placed in a different position from standard Statistic books, the flow was logical. (I did not see a TOC in the pdf version, however.) Statistics came well before computers. OTA statistics show that soon 43% of people who aren’t booking their hotel rooms online … that appeal to a wider background of multidisciplinary students can make the entire book more relevant.
In each chapter, there are use of figures, illustrations, and numerous example problems that walk the reader through step-by-step problem solving strategies. I appreciate the face that you can download the book in a PDF format. Whilst this may have some value in terms of flexibility for the instructor as stated by the authors in the Preface, the reality is that once students pursue further statistics and other related courses they will be confronted with the needed to use computer software tools. The binomial distribution is presented as a formula... Otherwise, it is a standard introductory statistics book with standard problems. 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