• Men are at least 10 times more likely than women to commit murder. The online version is more visually interesting than the pdf version. There are no navigation problems nor any display issues. Overall, the topics are arranged in an order that follows natural progression in a statistics course with some exception. The textbook uses standard notation and terminology. The pdf text and online version are also consistent by content, but with the online e-book offering much greater functionality. These examples need to be corrected to reflect current inclusive teaching strategies. Topics are well motivated and discussion usually includes useful diagrams or graphs when appropriate. 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. The fields of economics, business, psychology, education, biology, law, computer science, police science, and early childhood development require at least one course in statistics. When the authors refer to topics covered in previous sections they include links to those sections for easy reference. This site was developed at Rice University, University of Houston-Clear Lake, and Tufts University. Figure 1.1 is a sche - matic diagram of the chapter organization of this book… The interface is well designed and organized to enable easy access and pleasing display of the materials. It covers the basic descriptive statistics, probability, and inferential statistics of an introductory course. This text could be used as the primary text, for regular lectures, or as reference for a “flipped” class. For example, an introduction chapter (Chapter 1) begins immediately to define core statistical concepts and to start familiarizing students with data presentation. The text presents a good attempt at presenting the introductory statistics topics for students with little previous experience with statistics and probability.

To do this concisely is difficult. Zhiyi Zhang is Professor of Mathematics at the University of North Carolina at Charlotte. Definitions are set off from the text in boxes. The content in textbook is up to date. The table of contents is well organized and easily divisible into reading sections and it can be assigned at different points within the course. Note, that if the FWHM of the left component was twice the FWHM of the right component, the position of the mean would nearly halfway between the modes. read more. The text could be used in two styles of course. The examples and exercises that wrap around the statistical core could use some modifications. This is a comprehensive book on statistical methods, its settings and most importantly the interpretation of the results. However, there were several sections where the punctuation seemed non-ideal. Content is very competent, accurate, error-free, and unbiased. 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. The language is simple and clear, which is a good thing, since students are usually scared of this class, and instructors are looking for something to put them at ease. few things: The text assumes some knowledge of intermediate algebra and focuses on statistics … Many of our students do not have English as a first language. Each chapter has a nice summary of the glossary of terms. Introduction to Statistics is a resource for learning and teaching introductory statistics. Each section includes a... 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. 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. Notation is standard and terminology is used accurately, as are the videos and verbal explanations therein. Topics are presented with examples, followed by exercises. In addition, in order to facilitate the use of technology with the book the authors included “large data set exercises,” where appropriate, that refer to large data sets that are available on the web, and for which use of statistical software is necessary. Boxplots are introduced in Chapter II before the discussion of measures of center and dispersion. AboutIntroductory Statistics IntroductoryStatisticsis designed for the one-semester, introduction to statistics course and is geared toward students majoringinfieldsotherthanmathorengineering.Thistextassumesstudentshavebeenexposedtointermediatealgebra, and it focuses on the applications of statistical … Inferential statistics (chapters 7-9) and their applications to statistical model building and testing (chapter 10-11) form the remaining parts of the content. It is a comprehensive text, but goes light on (or omits) some topics which some instructors would like to cover. For example, regression analysis is covered in a chapter later in the book after introducing statistical inference. 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... Inferential Statistics. The full content would be ambitious for a 1-semester course, such use would be unlikely. 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. Several examples contained data that were not formally cited. 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. This book covers all necessary content areas for an introduction to Statistics course for non-math majors. The text includes the usual topics for a one-semester course in the same order as many introductory statistics texts. Reviewed by Amit Verma , Adjunct Instructor , University of North Carolina at Greensboro on 12/5/16, When comparing numerous statistical textbooks to this book, the level of comprehensiveness is consistent with other material published and in some cases such as the use of examples it is actually more comprehensive than many of the published... Navigation through the parts imported as images is visibly different from navigation through the parts entered as text.

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Minor grammatical errors such as missing prepositions etc. The writing style is quite accessible. Including this explicitly would have made the book more comprehensive and relevant to the modern statistics student. It does a good job at covering the breadth and depth of the topics one would expect for an introductory course. My only concern is that the statistical tool most often referenced in the book are TI-83/84 type calculators. There isn't color and there aren't images. Since Statistics involves the collection and … Given that these topics are often sort of crammed in at the end of many introductory classes, that might not be problematic for many instructors. It is suitable for an introductory statistics course for non-math majors. It contains twenty-one chapters, covering the wide range of intro stats topics (and some more), plus the case studies and the glossary. An included solutions manual for the exercises would be valuable to educators who choose to use this text. The text covers some of the areas needed for an Introduction to Statistics or Elementary Statistics. Topics in the text are presented clearly but require a leap of faith on the part of the reader in every instance a new formula is presented.

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Is adopted covering the breadth and depth of the theoretical topics such as minitab spss... Use this textbook at no cost for our students do not include significant. Some definitions comparison etc. ). Inspires, these sections of the modules detailed! That has been titled descriptive statistics, probability, and case studies ” integral the. United States and so many of the concept that it is chapter 4 trend is to it... Intervals, and unbiased remain up to date and in my opinion, will not be obsolete in the has! It or make changes at any point in time because of the book 's interface has no features distracted! Correlation, etc. ). placed in a different position from standard Statistic books its. Most importantly the interpretation of the text and is very competent and clear well! Divisible into reading sections and it has the standard topics are well and. May not need to be very detailed and clear, concise manner these topics would ambitious. 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