Statistic textbook pdf

This would make a very good supplement to another text and is very reader friendly. I would suggest the homework exercises be numbered if possible so if a student had a question, it would be an easy reference point. I also think if the graphing calculator ideas are going to be used, a few diagrams feature a "screenshot" of the calculator screen would be appropriate.

I especially like the answers to problems being easily accessed with the click of a button rather than flipping to the back of the book.

Many times in class, student's won't even check the answers in the back of the book although attempting the homework! The review section for the course at the end of the book is very appropriate for the students at our institution and the answers are easily located.

This is a huge perk. Finally, I think this book has a great organization, nice examples, and almost a "workbook" approach to the homework helping students step by step. Aesthetically, the book could use a few modern edges to make it easier for the student. This might include an idea such as highlighting important formulas so it stands out.

I did not see any index or glossary. It covers the basic descriptive statistics, probability, and inferential statistics of an introductory course. There are no permutations and combinations. The binomial distribution is presented as a formula The binomial distribution is presented as a formula without motivation for where the formula comes from. The normal approximation to the binomial distribution with continuity correction factor is not presented.

Of course, it uses the normal distribution for confidence intervals and tests of hypotheses for proportions later. The text does not cover bar charts or pie charts. It does not discuss how to build histograms because software will do that.

It is a comprehensive text, but goes light on or omits some topics which some instructors would like to cover. It has a good selection pf problems, including answers to the odd numbered problems. I find it annoying that the authors expect the student to use the computationally efficient formulas for the variance, correlation, etc. Otherwise, it is a standard introductory statistics book with standard problems. Yes, it is consistent including reliance on the computationally efficient formulae which I do not like.

I used it as a pdf, hence am not sure how it could be modified. But like any good statistics book, each chapter is broken down into sections for each topic. You can easily identify the pages where a topic is presented. It is the standard organization for an introductory statistics text.

Correlation and regression are at the end; that is where I cover it even in texts where it is chapter 4. I used it as a pdf, I am not sure whether there is an interactive version.

The graphics were fine, and it has the standard graphiccs for the normal distribution, confidence intervals, and tests of hypotheses. There were acouple of typos like x-bar with the bar after instead of above the x in one place,but that was not a significant problem. I did not notice any cultural relevance built into the text. It is a statistics text, which is not highly dependent on culture.

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 most annoying thing I find is the reliance on the computationally efficient formulae for the variance, etc.

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 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 statistics textbooks for an introductory class.

When I look for an introductory statistics textbook, I look for a book to include topics beginning with introductory descriptive statistics and transitioning into population sampling distribution and basic probability, and concluding with nonparametric and parametric inferential testing. 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.

Providing answers within a textbook is a plus because most other textbooks make you buy a solutions book, adding to unnecessary costs. 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. I have utilized many introductory statistical textbooks in the past and have checked the content within this book with others and have found that the content is accurate.

There appear to be no major problems with the theoretical information provided and the example problems associated with each chapter are error-free and consistent with the types of example problems in other textbooks. There also appear to be no major flaws with the solutions to the practice exercises.

Given that this is an introductory statistics textbook, many of the theoretical topics such as formulas, definitions, concepts, etc. I currently use many textbooks for introductory statistics that are over 5 years old to write lecture slides and generate example problems and have found that many changes were not needed when using older books. This textbook has done a great job to introduce various topics in a robust manner and thus will not need too many updates.

The only updates that could potentially be made over time are the use of new and more relevant real-world examples than what the text currently presents. 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.

This textbook is written in an extremely simplistic manner. The jargon and terminology that is used is explained thoroughly especially as it pertains to definitions and concepts. All terminology is thoroughly explained with extensive narrative and in many cases figures, illustrations, and formulas are use as supplemental references to assist with making topics clear.

When comparing this book with other introductory statistics textbooks, the manner in which content is presented and the reading level utilized within each chapter is very comparable and in some cases even more simplistic than other textbooks.

This textbook is extremely consistent internally. 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.

In each chapter, there are use of figures, illustrations, and numerous example problems that walk the reader through step-by-step problem solving strategies. Additionally, the chapters have a list of robust practice problems. Overall, all material presented in each chapter is consistent from chapter to chapter.

The modularity of the textbook is one of the best features that distinguish this book from others in the subject content area. The content for each learning objective is broken up into smaller pieces allowing for easy adoption within a course. Since the topics are broken up on a more granular level, it would be very easy to rearrange subunits without confusing the reader or creating a disconnect in the topics that are being covered.

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. This book allows for me to have this flexibility since there many sub-sections or units. I also appreciate the fact that there are not many run on chapters where numerous topics are all introduced within a given section.

The topics are presented in logical order as necessary for an introductory statistics course. 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.

This is commonly the flow of many comparable textbooks currently being used in the field. There are no major navigation issues when I went through this textbook. I appreciate the face that you can download the book in a PDF format. At times it was a bit difficult to read the formulas that were presented in the boxes within some of the chapters, especially when symbols were used. While it was slightly to read at times, it is still manageable and not a major concern. There were no grammatical errors that were observed when reviewing this textbook.

Additionally, there were no major issues found with the example problems or the solutions to the questions within the various chapters. This was an excellent textbook and a good alternative to books that need to be purchased at a high cost in student stores. I would recommend this book to be adopted as a cheaper alternative for introductory statistics courses. The text covers some of the areas needed for an Introduction to Statistics or Elementary Statistics.

For example, experimental design was not well covered in chapter 1 which introduction to Statistics. Both the table of content and index was Both the table of content and index was missing in this text, which makes it hard to know exactly what page you have to go and read the topic you want to.

Lastly there was no set of instruction teaching students how to use technology to perform some of these computations. I found the contents in the book to accurate and unbiased. Because of the well-structured contents in the textbook, it will be very easy to update it or make changes at any point in time. The content in textbook is up to date. The clarity in the book was very good for an intro to statistics course. The textbook is easily readable and the graphics are not bad at all. The language in the book is easily understandable.

I found most instructions in the book to be very detailed and clear for students to follow. The contents in the book is very consistent from beginning to the end. The contents in the book are well structured and well organized for each unit.

The text is well sectioned into parts for students to read and understand. 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. The interface of the book is very good, however the graphics could have been improved by adding some good images and diagrams. There was no table of contents or index in the pdf version of the book. You can only see the table of contents through online, which would be a very hard to navigate to the appropriate chapters and sections in the book.

On the whole, the textbook would be a very good book to use for an introduction to statistics class or elementary statistics, however I would recommend the authors adding an in-depth experimental design contents to Chapter 1. Secondly I would recommend the authors to add a table of content and an index to the textbook. The consensus introductory statistics curriculum is typically presented in three major units: 1 Descriptive statistics and study design first third of course , 2 Probability and sampling distributions second third of course , and This textbook covers all of these topics.

Topic 1 is chapters 1 and 2. Topic 2 is chapters 3 through 7. Topic 3 is done in chapters 8 to There are more chapters on the third topic. Inevitably instructors might not use them all. Each chapter comes with plenty of exercises and exercise answers. There is a good index and glossary. The coverage in each topic is very competent and clear. There is, however, nothing exciting or novel in the the manner in which the topics are covered or the pedagogical approach.

Recent trends in teaching introductory statistics have emphasized statistics as a part of scientific investigations. So they have integrated the learning of statistics into the understanding of science.

This text does little of that. An emerging trend is to make heavy use of computer simulation and even physical simulation techniques to aid learning. This text does none of that. Instructors will find the many exercises are US-centric. They may find they want exercises that are not that. It is certainly arranged in ways that would make altering it -- for example, to update it or make less US-centric it -- pretty straightforward.

The writing style is quite accessible. Many of our students do not have English as a first language. On the other hand BCCampus might consider having the textbook translated into other languages as its contribution. It looks like an instructor could skip or reorder sections without there being a problem. But in other respects it looks good. The examples and exercises are often US-centric.

There is no investigation of causal studies. This something some although not all introductory statistics cover. Most introductory statistics texts use the logical structure of descriptive statistics, probability, and inferential statistics to deliver the materials to new students.

This Introductory Statistics textbook by Shafer and Zhang is no exception This Introductory Statistics textbook by Shafer and Zhang is no exception. There is an introduction chapter chapter 1 that sets out the main definitions and conceptual foundation for the rest of the book.

Descriptive statistics is covered in one chapter chapter 2. Probability and related concepts are covered across four chapters chapters Inferential statistics chapters and their applications to statistical model building and testing chapter form the remaining parts of the content.

Collectively these topics form a useful and standard foundation for learning statistics. The online version of the text contains a detailed and functioning hyperlinked Table of Contents for the Chapters and Section headings. I was unable to find a glossary or index, but maybe the same functional benefits can be obtained by clicking on the appropriate topic hyperlink and scrolling through the text.

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? The examples and exercises sections provide some hints to students, but contemporary issues such as population growth, climate change and sea level rise are hardly ever mentioned.

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.

Another aspect of the content is the heavy reliance on the use of a calculator to perform many of the statistical calculations. 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.

Including this explicitly would have made the book more comprehensive and relevant to the modern statistics student. 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. In the Acknowledgments section the authors listed at least 16 individuals linked to higher education that have provided feedback and suggestions for improving the materials.

This adds confidence in the quality of the materials. 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. 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.

However, there are a few examples that attempt to break the mold - Section 2. This statistical core is up-to-date. The examples and exercises that wrap around the statistical core could use some modifications.

For example, issues climate change, population growth, etc. Making these changes to the existing online HTML files would be relatively easy and straightforward to implement.

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. Highlighted definition boxes and key takeaway boxes provide adequate explanations of terminology and key points.

The online Table of Contents also provide a consistent means to access these materials in an easily accessible way. 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.

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. For example, an introduction chapter Chapter 1 begins immediately to define core statistical concepts and to start familiarizing students with data presentation. The authors chose to continue data presentation mainly histograms in chapter 2 that has been titled Descriptive Statistics. In order to avoid any confusion in the minds of students, it would have been useful to focus the Descriptive Statistics chapter on mean, median, mode concepts.

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. Experience has shown that chunking materials using clearly defined boundaries help students to learn better.

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