INTRODUCTORY STATISTICS EBOOK

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Study statistics online free by downloading OpenStax's Introductory Statistics book and using our accompanying online resources. Introductory Statistics, Third Edition, presents statistical concepts and techniques in a manner that will teach students not only how and when to utilize the. Introductory Statistics. (8 reviews). Douglas Shafer, University of North Carolina. Zhiyi Zhang, University of North Carolina. Pub Date: ISBN


Introductory Statistics Ebook

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Introductory Statistics. (19 reviews). Multiple Authors, Openstax College. Pub Date: ISBN Publisher: OpenStax. Language: English . statistics. As a result we envision a smaller and less intimidating textbook that In our experience most students come to an introductory course in statistics with. Online Statistics: An Interactive Multimedia Course of Study is a resource for learning and teaching introductory statistics. It contains material presented in.

However, the variety of examples and data sets provided make this book relevant and applicable to a variety of disciplines. This text emphasizes examples and sample problems over extensive narratives. The introductory text in each chapter is helpful and clear, but the descriptive text in the various sections of the chapter are often quite brief. It would be helpful if the chapter's narrative flowed a bit more cohesively from one topic to the next.

That said, the emphasis on practice questions and examples would pair well with an instructor who could clearly present the concepts in class and then assign the textbook reading following the class meeting. The book's consistency is excellent and it follows a similar structure across all of the chapters. Each chapter includes numerous examples, and students would particularly find the examples with solutions followed by the "Try It" exercises without a solution immediately listed a helpful way to learn the material, practice it with guidance, and then try it on their own.

This text includes a variety of core concepts in statistics that could easily be rearranged depending on instructor preference. As with any mathematical course, some concepts need to be introduced before others the normal distribution, for example, is fairly critical in understanding hypothesis testing , but later concepts especially could be reorganized.

In addition, less essential core concepts could be eliminated or reduced depending on the course objectives with little disruption to the reader. The text presents topics in a clear and organized way. Each chapter is similarly structured and presents core statistical concepts in a logical way, first introducing the concept, then providing examples, and finally offering sample problems for students to complete on their own in order to test their understanding.

The text is well-presented with clear, simple diagrams and a consistent visual framework. The tables and figures enhance the concepts discussed and would aid in the reader's understanding. The text contains a variety of culturally relevant examples, including many data sets and sample problems related to college students. At times, the examples could be adjusted so they are less culturally insensitive.

A sample problem in Chapter 10, for example, refers to iPhones being more popular with "whites" than with "African Americans," though some people prefer the label "black," and this example overlooks or oversimplifies broader issues with income distribution. Perhaps instead of using different races in the example, the text could be revised to compare age groups. Otherwise, the examples include a variety of women and men as well as varying ethnicities and the issues discussed would be relevant for students of a variety of ages and life experiences.

Overall, the text is highly comprehensive, covering a wide array of statistical concepts and including numerous examples and sample problems. The text covers all of the topics that are included in the Minnesota Transfer Curriculum for an introductory statistics course. Calculator instructions for the TI- graphing calculator family are included in each section. The confidence interval The confidence interval chapter [Chapter 8] does not include finding confidence intervals based on standard deviations and variances.

The hypothesis testing chapter [Chapter 9] also does not mention testing for standard deviations or variances. This chapter does spend a significant amount of time giving a good background on the concept of hypothesis testing which will improve student understanding for the rest of the topics.

Type I and Type II errors are given good coverage with the introductory hypothesis testing. Table F1 includes an overview of typical English phrases that are often misinterpreted when trying to devise hypothesis statements.

Table F2 includes a chart showing the symbols used throughout a statistics course and gives its meaning and the associated topic for its use. The content is generally accurate. There are some minor typos which might lead to confusion for students. A few noted below: Example 5.

Statistics books that utilize actual studies are meaningful and demonstrate relevance to students. This book does make use of studies and indicates where the information originates. There are some problems that are included in Chapter 9 that are contributed by students of the author and are poetic in nature. The relevance of these problems can be assessed by individual instructors. Necessary updates should be relatively easy to implement.

Overall, the text does well in explanations of the technical procedures. Terminology is defined within context of the topic being addressed and is also included in a glossary at the end of the book.

The writing is at an appropriate level for this course. The organization of this book allows for smaller reading sections to be easily assigned. Realignment of subunits should not provide disruption to the reader. The topics are arranged in an order that follows natural progression in a statistics course. They are addressed logically and given adequate coverage. This makes for inconsistent spacing in the paragraph structure. I did not notice any grammatical errors, although better use of punctuation within sentences could improve readability.

This text refers to many different cultures and ethnic backgrounds. The examples are respectful of differences in our society. It would work best for a lecture course, where it could be used primarily as a resource. An online student might have difficulty with the readability of the text in the absence of instructor guidance. The margins are small to maximize the information that can be contained on each page.

The amount of information contained in a small space might prove intimidating for some students, especially those that are not comfortable with math as a subject matter. I would consider this text for adoption, but not without exploring other options that are available.

This textbook covers all of the standard topics usually covered in? The sequence is the same used in almost every such book. All subject areas addressed in the Table of All subject areas addressed in the Table of Contents are covered thoroughly. The computational technology in this textbook is based on a specific brand of calculator TI, TI only. For using the textbook a student has almost evitable to download a calculator of this brand.

Forcing students to download a specific brand of calculator contradicts the very idea of saving money using OER. I think some instructions for using of the Excel statistical functions have to be added in the book.

The book is mathematically accurate, as far as I can see, but there are some minor errors. For example, in the formula of the confidence interval on page there are the extra parenthesis in the wrong places.

It gives wrong boundaries of the confidence interval. In headlines of Ch. The definition of mutually exclusive events on page is correct but it makes sense to clarify it for the case when events A and B are exhaustive events of a phenomenon.

In general, the content is as up-to-date as any introductory probability textbook can reasonably be. Main change is in technology used for computation. The calculator references will be out of date rather quickly.

The clarity in the book is very good. The language in the book is simple and clear.

Introduction to Statistics

The instructions in the book are detailed and easy to follow. The text is consistent in its terminology and framework. Chapters of the text are rather autonomous and each contains the explanation of key terms, notation, and some information from the previous chapters. I don't see any problems to divide the textbook into the weekly modules both in descriptive and inferential statistics.

The organization is fine. The text book presents all the topics in an appropriate sequence. The structure of each chapter is done in the same fashion. This makes reading much easier. Due to the autonomy of chapters instructors can easily adjust the flow. I like the textbook interface. It is not monotonous; headlines of the different parts of the text are highlighted, bold or have a different color.

The table of contents is allows direct access to the section but not vice versa. It is well written. There are some examples that are inclusive of a variety of races, ethnicities and back grounds.

No portion of this text appeared to me to be culturally insensitive or offensive in any way, shape, or form. The textbook is a good book for introduction to statistics.

Its Stats Lab fosters active learning in the class room. The language of the book is simple and clear. The graphing calculator is well integrated into curriculum.

On the other hand sometimes the main stress is done not on conceptual understanding of statistics but on details of computational procedures for the specific brand of calculator and looks like a content of a calculator manual.

The ignoring of the computer technologies is a weakness of the textbook. The textbook available to students for free and with addition of the computational computer technologies can be recommended for a community college basic statistics courses. This textbook covers all of the usual topics you would expect to cover in an introductory statistics course for non-math majors. There is a glossary available at the end of each chapter, which is very helpful. A comprehensive index is available in A comprehensive index is available in this textbook at the end of the book, as you would expect.

In addition, it's nice that a student may use the search option when using the pdf version of the textbook to search for specific terms. I've went through most of the textbook, but didn't thoroughly check the Try It or homework exercises.

In the content and examples, I have found several errors, most of which are minor. I will be submitting those errors to add to the errata. The content is very relevant as it includes current studies and refers to today's modern technology and current events. Overall the book is fairly consistent in terms of terminology and framework. However, there are times when examples do not reflect the content exactly.

For example, the histogram given in the solution to Example 2. The text is split up into subsections and smaller reading sections quite well. The blocks of text are appropriately small and manageable and most sections could be reordered without much difficulty to the reader.

The topics are given in a very logical order. I particularly like how confidence intervals are covered for both a population mean including t-intervals and a population proportion before hypotheses tests for these parameters are explained. But if someone wants to cover both confidence intervals and hypotheses for a particular parameter together, then this can be easily done as well.

Most images and display features are very good. However, there are some formatting issues that should be resolved. For example, each x-bar in the text has the bar located a significant distance above the x.

Also, many times what should be subscripts are not displayed that way, which can be confusing for students who are trying to learn the massive amount of notation used in a statistics course. I haven't found any issues with cultural insensitivity or offensive material in this textbook.

The examples tend to include people from various ethnic backgrounds and people of different gender and races as well. A Statistics textbook mostly have a standard structure. This bookk covers major subjects of the course. Central limit theorem is given a whole chapter, which is good because of its importance.

However, I would like to see these more. No explanation for Normal and other table use. I understand we now mostly use computers for the table values; however, I believe, students still get benefit from the use of tables although it is an additional material to cover.

Normality test would be needed. No Goodness-of-fit test or probability plot is explained. Normality test is important for the inference statistics. Confidence Interval formula of F-distrbution would be better.

Elementary Statitics theory is not changed quickly. Although the application examples can be more or less current, this book is uptodated. This book is clear in its contents.

This book is actually carefully written for better understandinig of the materials. This book follows standard chapter layout of Statistics books except that F-distribution is explained and used at the last part of the book.

Good concise sections with many problems helps understanding the materials. One of the important aspects of the textbooks is the presentation, such as font, page layout and color. To choose a book to review for my possible use in the near future, I selected this book because it caught my eyes among a few candidate books. For example, this book has better use of colors, colorful boxes, and arrangement of tables to better guide the reading and understanding of the materials.

This book has good details of the editing and has a very competitive presentation compared with other commercial Statistics textbooks. This book is well written. The most successful aspect of this book to me is the exercises.

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They are carefully made to make students easily understand the lecture materials and get feeling of real statistical analysis. The book also has very nice in-class exercises Stats Lab in all chapters.

While this is very good for student learning, I wonder if an instructor can find time for this when covering the materials of the course. This book has many good features — such as key word summary and chapter review at the end of a chapter. Although these are popular with commercial textbooks, these features are certainly helpful. Especially, it provides nice assignments or projects. The lecture video, which is helpful, is partially based on hand writing.

I would prefer the video to be completely based on PPT. No PowerPoint lecture note is provided. This will make the preparation of lecture note time taking. Although one book cannot have all possible contents, explanation of Minitab or Matlab will be helpful. Solution of homework of each chapter is given in the chapter, which is nice. This book covers all necessary content areas for an introduction to Statistics course for non-math majors.

The text book provides an effective index, plenty of exercises, review questions, and practice tests. An overwhelming majority of the content is accurate. I found only couple of errors.

Introductory Statistics

The formula for finding the variance using grouped data is not consistent with the definition used. Assumptions for chi-squared tests were not mentioned. Content is up to date. This would help students learn how to interpret standard statistical outputs in practice. The textbook is written with adequate clarity. Discussion on sampling distributions would have helped the flow of the content.

Central limit theorem for a sample proportions is not included. I think the authors rely too much on the graphing calculator for simple algebraic calculations. Should have used the normal and t-tables to find probabilities.

The notation used is consistent with standard notations used in the field throughout the text. However the formula used for finding variance of grouped data is not consistent with the definition. Students may confuse the sum of the values in each group as the standard deviation in the group since the letter s is used for the sum. The text is divided into easily readable sections. Content is well organized and presented in a manner so that reading sections can be assigned throughout the course.

Different sections could be reorganized easily without presenting too much interruption to the reader. The material is presented with a flow consistent with a standard statistic text. Sample percentiles should have been discussed before discussing the median and quartiles. Overall content is organized and structured well. I do not see any significant interface issues. Some of the formulas were hard to read because of distortion but it will not post any confusion for a careful reader.

Overall a good text for non-math majors. Basic ideas such as experimental units, sampling distributions are not discussed.

Relies too much on graphing calculators for simple algebraic calculations and finding probabilities. It is better to discuss percentiles before discussing the median and quartiles since they were defined later in the chapter. Could have used statistical software for hypothesis testing, chi-squared tests, ANOVA, and regression.

Plenty of examples, exercises, review questions, and practice tests were given in the textbook. Good lab assignments. This book covers all the topics typically covered in an introductory level statistics course from an introduction to probability and the basics f study design through sampling distributions, confidence intervals, tests of one and two samples for This book covers all the topics typically covered in an introductory level statistics course from an introduction to probability and the basics f study design through sampling distributions, confidence intervals, tests of one and two samples for means, proportions and variances, the typical Chi square tests including independence, goodness of fit and homogeneity, regression and ANOVA.

It does not include non-parametric tests. The p-value method is the only method utilized when performing hypothesis testing. The critical value method is not utilized.

One topic missing is s a discussion of determining normality of a data set. The index and table of contents in the pdf form of the text is especially useful as it allows the user to click on the page number in the index to scroll to the desired page. The work is free of errors.

Sample problems are drawn from a wide variety of subjects and topics. PowerPoint Lecture Notes A PowerPoint presentation highlighting key learning objectives and the main concepts for each chapter are available for you to use in your classroom.

You can either cut and paste sections or use the presentation as a whole. Test Generator Prefer printable tests? Download our test generator and start creating printable tests today!

We offer a test generator for both PC and Mac users. Test Generator - powered by Cognero FlatWorld has partnered with Cognero, a leading online assessment system, that allows you to create printable tests from FlatWorld provided content.

Solutions Manual For exercises that need a little more explanation, our Solutions Manual will take you step by step through solving the problem and offer explanations on the answer. 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 download 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 downloadd 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.

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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: 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.

Content is very competent, accurate, error-free, and unbiased. Instructors will find the many exercises are US-centric. They may find they want exercises that are not that. The content is fairly timeless in its coverage. 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 textbook is very clear. The writing style is quite accessible.

Many of our students do not have English as a first language. It doesn't look like the text would present issues for their understanding. On the other hand BCCampus might consider having the textbook translated into other languages as its contribution.

The use of statistics terminology is consistent through the text. The organization of material is similar in each chapter. The textbook is broken into smaller chunks. It looks like an instructor could skip or reorder sections without there being a problem.

The text looks like a professionally published textbook. There isn't color and there aren't images. But in other respects it looks good. There aren't any navigation or user interface issues.

The text is not culturally offensive in any way. The examples and exercises are often US-centric. As previously noted many examples and exercises are US-centric. There is no investigation of causal studies.Introductory Statistics is comprehensive and includes all the topics needed for an introductory course in statistics. Comments 1 The competition of Statistics textbooks in the market is very high, and there are many good books available at high prices.

I would recommend this book to be adopted as a cheaper alternative for introductory statistics courses. I am going to use this book for a statistics course I am teaching. I think including a more substantial use of statistical software would have made the text more relevant.

I specifically read through ALL of the end of chapter glossaries. The content is current with the traditional, non-randomization, approach to statistical inference. Frequency Tables and Graphs Problems 2. The authors chose to continue data presentation mainly histograms in chapter 2 that has been titled Descriptive Statistics.

TRUDIE from Baltimore
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