That might be a matter of individual preference. There are no major navigation issues when I went through this textbook. In particular: 1. Minor grammatical errors such as missing prepositions etc. Multiple pages: Authors use Gaussian distribution plots to illustrate Student distribution. I would, however, try to make it a little more interesting, exciting, or may be even funny. I didn't notice any offensive example, actually this book seems to have less word problem/example than other books. Including these issues and a connection to the statistical tools that can provide solutions to these problems would help make statistics fun for multidisciplinary students who often perceive statistics as boring and irrelevant. I found most instructions in the book to be very detailed and clear for students to follow. The statistical literacy exercises are particularly interesting. I found most instructions in the book to be very detailed and clear for students to follow. The text covers some of the areas of the subject, albeit not in-depth. Probability Distributions The probability distribution for a random variable X gives the possible values for X, and the … His research activities in Statistics have been supported by National Science Foundation, US Environmental Protection Agency, Office of Naval Research, and National Institute of Health. The text is free of any issues. There are some large gaps between the numerator and denominator in some formulas that might cause confusion. The book contains well organized chapters that makes reading through easy and understandable. Overscripted variables are not typeset well in Word. The content is accurate. The text presents a good attempt at presenting the introductory statistics topics for students with little previous experience with statistics and probability.

There isn't color and there aren't images. read more, Overall the book is quite solid. The examples are direct applications of the formulas and accurately assess the conceptual knowledge of the reader. This did not affect the over-all useability of the book though. Well explained, though maybe could use some more interesting examples; and maybe could use some definitions comparison etc. The full content would be ambitious for a 1-semester course, such use would be unlikely. Each chapter contains modules that begin with prerequisite information and upcoming learning objectives for mastery. Reviewed by Mamata Marme, Assistant Professor, Augustana College on 6/25/19, This textbook offers a fairly comprehensive summary of what should be discussed in an introductory course in Statistics. The topics are up-to-date, and appropriate technology is used for examples, applications, and case studies. 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. 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. The writing is very clear. Topics are well motivated and discussion usually includes useful diagrams or graphs when appropriate. It would be straightforward to select portions of the text and reorganize as needed. Ask our subject … I did not find any errors in the formulas, but the notation and terminology are sometimes non-traditional. Understanding Statistics. However, there are some issues with table of contents and page numbers, for example chapter 17 starts in page 597 not 598. This text covers all the standard topics in a semester long introductory course in statistics. Making these changes to the existing online HTML files would be relatively easy and straightforward to implement.

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These questions are a very appealing feature of the text. The statistical formulas and calculations have been used for centuries. The text does not cover bar charts or pie charts. 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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The book's cultural relevance comes out in the case studies. These examples need to be corrected to reflect current inclusive teaching strategies. 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. There is comprehensive hyperlinked glossary. Examples are easy to update, but would benefit from reduction of their count. The organization, in particular the ordering of the topics, is rather standard with a few exceptions. The prose format of definitions and theorems make theoretical concepts accessible to non-math major students. In addition to journal articles and this statistic textbook he has co-authored with V. G. Romanovski (Maribor, Slovenia) a graduate textbook in his research specialty. This book covers all necessary content areas for an introduction to Statistics course for non-math majors. Lane is the principal developer of this resource although many others have made substantial contributions. In Chapter one, we introduce the basic concepts in statistics. Secondly I would recommend the authors to add a table of content and an index to the textbook. 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. Each module introduces the topic, has appropriate graphics, illustration or worked example(s) as appropriate and concluding with many exercises. The focus of the text is on concepts and explanation. The Introductory Statistics teacher is no stranger to this challenge. On the other hand BCCampus might consider having the textbook translated into other languages as its contribution.

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The material is completely accurate. 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. read more. Neither of the pdf or html versions has an index. I found the contents in the book to accurate and unbiased. The text would be a great resource for students. 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. Using the textbook outside of that geographic context may prove to be a limitation in terms of asking students to grasp an understanding of the problem domain before attempting a statistical solution. A Refresher Course in Mathematics. I'm not sure how well this book would work internationally as many of the examples contain domestic (American) references. The authors have chosen to cover topics in the same order as many other statistics texts. The structure of the text is very consistent. 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 … Terminology is consistant. Lastly there was no set of instruction teaching students how to use technology to perform some of these computations. This can really facilitate learning as making such “refreshers” integral to the new material. 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. It covers the basic descriptive statistics, probability, and inferential statistics of an introductory course. Explanations of statistical concepts are easy to understand and well motivated. Reviewed by Dabrina Dutcher, Assistant Professor, Bucknell University on 3/4/19, This is a reasonably thorough first-semester statistics book for most classes. The topics are arranged in the standard statistical workflow process of Descriptive/Probability/Inferential/Modeling stages. born. With the advent of computers and software’s, complex statistical analysis can be done very easily. I did not find any offensive cultural language in the textbook. The text book is brokenly into very short sections, almost to a fault. Statistics include numerical facts and figures. It looks like an instructor could skip or reorder sections without there being a problem.

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