5th business edition introduction statistics

The chapter on regressions comes later than it does in some texts but it doesn't really matter since that chapter never seems to fit smoothly anywhere. There are numerous end of chapter problems, some with answers, available in this book. I'm vacillating on whether these problems would be more useful if they were distributed after each relevant section or are better clumped at the end of the whole chapter.

That might be a matter of individual preference. I found no errors. However, there were several sections where the punctuation seemed non-ideal. This did not affect the over-all useability of the book though. I'm not sure how well this book would work internationally as many of the examples contain domestic American references.

However, I did not see anything offensive or biased in the book. As the title implies, this is a brief introduction textbook. It covers the fundamental of the introductory statistics, however not a comprehensive text on the subject. A teacher can use this book as the sole text of an introductory statistics A teacher can use this book as the sole text of an introductory statistics.

The prose format of definitions and theorems make theoretical concepts accessible to non-math major students. The textbook covers all chapters required in this level course. It is accurate; the subject matter in the examples to be up to date, is timeless and wouldn't need to be revised in future editions; there is no error except a few typographical errors.

There are no logic errors or incorrect explanations. This text will remain up to date for a long time since it has timeless examples and exercises, it wouldn't be outdated.

The information is presented clearly with a simple way and the exercises are beneficial to follow the information. The material is presented in a clear, concise manner. The text is easy readable for the first time statistics student. The structure of the text is very consistent. Topics are presented with examples, followed by exercises. Problem sets are appropriate for the level of learner. When the earlier matters need to be referenced, it is easy to find; no trouble reading the book and finding results, it has a consistent scheme.

This book is set very well in sections. There is no logic errors and incorrect explanations, a few typographical errors is just to be ignored. This book is pretty comprehensive for being a brief introductory book.

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, The text book provides an effective index, plenty of exercises, review questions, and practice tests. It provides references and case studies. The glossary and index section is very helpful for students and can be used as a great resource.

Content appears to be accurate throughout. Being an introductory book, the book is unbiased and straight to the point. The terminology is standard. The content in textbook is up to date. It will be very easy to update it or make changes at any point in time because of the well-structured contents in the textbook. The author does a great job of explaining nearly every new term or concept.

The book is easy to follow, clear and concise. The graphics are good to follow. 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.

Overall consistency is good. It is consistent in terms of terminology and framework. The writing is straightforward and standardized throughout the text and it makes reading easier. The authors do a great job of partitioning the text and labeling sections with appropriate headings.

The table of contents is well organized and easily divisible into reading sections and it can be assigned at different points within the course.

Overall, the topics are arranged in an order that follows natural progression in a statistics course with some exception. They are addressed logically and given adequate coverage. The text is not culturally insensitive or offensive in any way most of time. Some examples might need to consider citing the sources or use differently to reflect current inclusive teaching strategies. Overall, it's well-written and good recourse to be an introduction to statistical methods.

Some materials may not need to be covered in an one-semester course. Various examples and quizzes can be a great recourse for instructor. The text includes the introductory statistics topics covered in a college-level semester course. An effective index and glossary are included, with functional hyperlinks. The content of this text is accurate and error-free, based on a random sampling of various pages throughout the text. Several examples included information without formal citation, leading the reader to potential bias and discrimination.

These examples should be corrected to reflect current values of inclusive teaching. The text contains relevant information that is current and will not become outdated in the near future. The statistical formulas and calculations have been used for centuries. The examples are direct applications of the formulas and accurately assess the conceptual knowledge of the reader. The text is very clear and direct with the language used. Graphs, tables, and visual displays are clearly labeled. The terminology and framework of the text is consistent.

The hyperlinks are working effectively, and the glossary is valuable. Each chapter contains modules that begin with prerequisite information and upcoming learning objectives for mastery. The modules are clearly defined and can be used in conjunction with other modules, or individually to exemplify a choice topic.

With the prerequisite information stated, the reader understands what prior mathematical understanding is required to successfully use the module.

I think this rearranged version of the index would better align with current Introductory Statistics texts. The structure is very organized with the prerequisite information stated and upcoming learner outcomes highlighted. Each module is well-defined. Adding an option of returning to the previous page would be of great value to the reader. While progressing through the text systematically, this is not an issue, but when the reader chooses to skip modules and read select pages then returning to the previous state of information is not easily accessible.

Several examples contained data that were not formally cited. These examples need to be corrected to reflect current inclusive teaching strategies. An included solutions manual for the exercises would be valuable to educators who choose to use this text.

As a text for an introductory course, standard topics are covered. 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. Each module Each module introduces the topic, has appropriate graphics, illustration or worked example s as appropriate and concluding with many exercises. A comprehensive glossary provides definitions for all the major terms and concepts.

The case studies give examples of practical applications of statistical analyses. Many of the case studies contain the actual raw data. To note is that the on-line e-book provides several calculators for the essential distributions and tests. These are provided in lieu of printed tables which are not included in the pdf. Such tables are readily available on the web. The content is accurate and error free. Notation is standard and terminology is used accurately, as are the videos and verbal explanations therein.

Online links work properly as do all the calculators. The text appears neutral and unbiased in subject and content. The text achieves contemporary relevance by ending each section with a Statistical Literacy example, drawn from contemporary headlines and issues. Of course, the core topics are time proven. The text is very readable. Meanwhile for this same content the on-line version appears streamlined, uncluttered, enhancing the value of the active links.

This terminology and symbol use are consistent throughout the text and with common use in the field. The pdf text and online version are also consistent by content, but with the online e-book offering much greater functionality.

The chapters and topics may be used in a selective manner. Certain chapters have no pre-requisite chapter and in all cases, those required are listed at the beginning of each module.

It would be straightforward to select portions of the text and reorganize as needed. The online version is highly modular offering students both ease of navigation and selection of topics.

Chapter topics are arranged appropriately. In an introductory statistics course, there is a logical flow given the buildup to the normal distribution, concept of sampling distributions, confidence intervals, hypothesis testing, regression and additional parametric and non-parametric tests.

The normal distribution is central to an introductory course. Necessary precursor topics are covered in this text, while its use in significance and hypothesis testing follow, and thereafter more advanced topics, including multi-factor ANOVA.

Each chapter is structured with several modules, each beginning with pre-requisite chapter s , learning objectives and concluding with Statistical Literacy sections providing a self-check question addressing the core concept, along with answer, followed by an extensive problem set. The clear and concise learning objectives will be of benefit to students and the course instructor. No solutions or answer key is provided to students. The on-line interface works well.

In fact, I was pleasantly surprised by its options and functionality. The pdf appears somewhat sparse by comparison to publisher texts, lacking pictures, colored boxes, etc. But the on-line version has many active links providing definitions and graphic illustrations for key terms and topics. Most sections also have short videos that are professionally done, with narration and smooth graphics.

In this way, the text is interactive and flexible, offering varied tools for students. The text in pdf form appeared to free of grammatical errors, as did the on-line version, text, graphics and videos. This text contains no culturally insensitive or offensive content. The focus of the text is on concepts and explanation.

The text would be a great resource for students. The full content would be ambitious for a 1-semester course, such use would be unlikely.

The text is clearly geared towards students with no statistics background nor calculus. The text could be used in two styles of course. For 1st year students early chapters on graphs and distributions would be the starting point, omitting later chapters on Chi-square, transformations, distribution-free and size effect chapters.

Alternatively, for upper level students the introductory chapters could be bypassed with the latter chapters then covered to completion. The e-book videos are an enabling tool if this approach is adopted. This is a comprehensive book on statistical methods, its settings and most importantly the interpretation of the results.

But the challenge is the But the challenge is the knowledge of how to set the case, setting parameters for example confidence intervals and knowing its implication on the interpretation of the results. If not done properly this could lead to deceptive inferences, inadvertently or purposely. This book does a great job in explaining the above using many examples and real world case studies. If you are looking for a book to learn and apply statistical methods, this is a great one.

I think the author could consider revising the title of the book to reflect the above, as it is more than just an introduction to statistics, may be include the word such as practical guide. The contents of the book seems accurate. Some plots and calculations were randomly selected and checked for accuracy.

The book topics are up to date and in my opinion, will not be obsolete in the near future. I think the smartest thing the author has done is, not tied the book with any particular software such as minitab or spss. No matter what the software is, standard deviation is calculated the same way as it is always. The contents and examples cited are clear and explained in simple language. Data analysis and presentation of the results including mathematical calculations, graphical explanation using charts, tables, figures etc are presented with clarity.

Terminology is consistant. Framework for each chapter seems consistent with each chapter beginning with a set of defined topics, and each of the topic divided into modules with each module having a set of learning objectives and prerequisite chapters. The text book is divided into chapters with each chapter further divided into modules.

Each of the modules have detailed learning objectives and prerequisite required. So you can extract a portion of the book and use it as a standalone to teach certain topics or as a learning guide to apply a relevant topic. Presentation of the topics are well thought and are presented in a logical fashion as if it would be introduced to someone who is learning the contents.

However, there are some issues with table of contents and page numbers, for example chapter 17 starts in page not Also some tables and figures does not have a number, for instance the graph shown in page does not have a number.

Also it would have been better if the chapter number was included in table and figure identification, for example Figure Also in some cases, for instance page , the figures and titles are in two different pages. No major issues. Only suggestion would be, since each chapter has several modules, any means such as a header to trace back where you are currently, would certainly help.

Easy to read and phrased correctly in most cases. Minor grammatical errors such as missing prepositions etc. In some cases the author seems to have the habbit of using a period after the decimal.

For instance page , etc. However it contains some statements even though given as examples that could be perceived as subjective, which the author could consider citing the sources.

For example from page Statistics include numerical facts and figures. This text covers all the standard topics in a semester long introductory course in statistics.

It is particularly well indexed and very easy to navigate. There is comprehensive hyperlinked glossary. The material is completely accurate. There are no errors. The terminology is standard with one exception: the book calls what most people call the interquartile range, the H-spread in a number of places. Ideally, the term "interquartile range" would be used in place of every reference to "H-spread.

It is also more commonly used nowadays. This book came out a number of years ago, but the material is still up to date. Some more recent case studies have been added. The writing is very clear. There are also videos for almost every section.

The section on boxplots uses a lot of technical terms that I don't find are very helpful for my students hinge, H-spread, upper adjacent value. The text is internally consistent with one exception that I noted the use of the synonymous words "H-spread" and "interquartile range". The text book is brokenly into very short sections, almost to a fault.

Each section is at most two pages long. However at the end of each of these sections there are a few multiple choice questions to test yourself. These questions are a very appealing feature of the text. The organization, in particular the ordering of the topics, is rather standard with a few exceptions. Boxplots are introduced in Chapter II before the discussion of measures of center and dispersion. Most books introduce them as part of discussion of summaries of data using measure of center and dispersion.

Some statistics instructors may not like the way the text lumps all of the sampling distributions in a single chapter sampling distribution of mean, sampling distribution for the difference of means, sampling distribution of a proportion, sampling distribution of r.

I have tried this approach, and I now like this approach. But it is a very challenging chapter for students. The book's interface has no features that distracted me. Overall the text is very clean and spare, with no additional distracting visual elements. The book's cultural relevance comes out in the case studies. As of this writing there are 33 such case studies, and they cover a wide range of issues from health to racial, ethnic, and gender disparity.

Each chapter as a nice set of exercises with selected answers. The thirty three case studies are excellent and can be supplement with some other online case studies. An instructor's manual and PowerPoint slides can be obtained by emailing the author. There are direct links to online simulations within the text. This text is very high quality textbook in every way.

Introduction to Statistics is a resource for learning and teaching introductory statistics. This work is in the public domain. Therefore, it can be copied and reproduced without limitation. However, we would appreciate a citation where possible. Project Leader: David M. Lane, Rice University. Instructor's manual, PowerPoint Slides, and additional questions are available.

Lane is the principal developer of this resource although many others have made substantial contributions. Content Accuracy rating: 5 I did not find any errors. Clarity rating: 5 I found it was easy to read and understand and I expect that students would also find the writing clear and the explanations accessible. Consistency rating: 5 Even with different authors of chapter, the writing is consistent. Modularity rating: 5 The text is well organized into sections making it easy to assign individual topics and sections.

Interface rating: 5 I had no problem navigating the text online. Grammatical Errors rating: 5 The writing is grammatical correct. Cultural Relevance rating: 5 I saw no issues that would be offensive. Comments I did like this text. Content Accuracy rating: 5 I found no errors in their discussions. Clarity rating: 5 This is a Statistics text so a little dry. Consistency rating: 5 The text is consistent throughout using the same verbiage in various sections.

Modularity rating: 5 The text dose lend itself to reasonable reading assignments. Content Accuracy rating: 5 I did not find any errors or issues of inaccuracy. Clarity rating: 4 All of the key terms, formulas, and logic for statistical tests are clearly explained. Consistency rating: 5 The explanations are consistent and build from and relate to corresponding sections that are listed in each unit. Modularity rating: 5 Modularity is a strength of this text in both the PDF and interactive online format.

Grammatical Errors rating: 5 The text is easy to read and free from any obvious grammatical errors. Cultural Relevance rating: 5 Although some of the examples are outdated, I did not review any that were offensive. Comments This is a good introduction level statistics text book if you have a course with students who may be intimated by longer texts with more detailed information. Content Accuracy rating: 5 The text seems to be statistically accurate. Clarity rating: 5 It is written clearly.

Consistency rating: 4 The terminology is fairly consistent. There is room for some improvement. Modularity rating: 5 By the nature of the subject, the topics have to be presented in a sequential and coherent order. Interface rating: 5 Good interface. Grammatical Errors rating: 5 The grammar is ok. Cultural Relevance rating: 5 The book seems to be culturally neutral, and not offensive in any way. Comments I really liked the simulations that go with the book.

Content Accuracy rating: 5 I found all the material accurate. Clarity rating: 5 The book is well written for introducing beginners to statistical concepts. Consistency rating: 5 Yes, the information is consistent; when it is introduced in early chapters it ties in well in later chapters that build on and add more understanding for the topic.

Modularity rating: 4 The book is well-written with attention to modularity where possible. Interface rating: 5 I did not find any interface issues. Grammatical Errors rating: 5 The book is well written. In my reading I did not notice grammatical errors.

Cultural Relevance rating: 5 For this subject and in the examples given, I did not notice any cultural issues. Comments For the field of social work where qualitative data is as common as quantitative, the importance of giving students the rationale or the motivation to learn the quantitative side is understated.

Content Accuracy rating: 5 The terminology and notation used in the textbook is pretty standard. The content is accurate. Clarity rating: 4 The textbook does not necessarily explain the derivation of some of the formulae and this will need to be augmented by the instructor in class discussion. Consistency rating: 5 The textbook uses standard notation and terminology. Modularity rating: 4 The authors have done a good job treating each chapter as if they stand alone.

Interface rating: 5 I had no problem with the interface. Grammatical Errors rating: 5 I did not see any grammatical errors. Cultural Relevance rating: 4 I am not sure how to evaluate this. Rent 4 months. Rent 6 months. Rent 1 year. This package includes Achieve and Paperback. This package includes Achieve and Loose-Leaf.

Look Inside. Every homework question includes a hint, answer-specific feedback, and a fully worked solution. Question types in Achieve include: - Multiple choice - Ranking - Sorting - Numeric entry - Multi-part questions - Questions with algorithmically regenerating values LearningCurve adaptive quizzing puts the concept of "testing to learn" into action, motivating students to engage with the text's content to identify areas of proficiency.

Easy-to-use reporting tools help teachers pinpoint areas to focus on in class. A mobile, interactive e-book , powered by VitalSource, allows students to highlight and take notes, print select pages, and have the text read aloud to them.

Over StatTutors --multimedia tutorials that explore important concepts and procedures in a presentation that combines video, audio, and interactive features--are assignable, gradeable, and organized by chapter.

Applet Activities , called out from the text, are visual interactives that allow students to manipulate data and variables in calculations and see the results graphically. Videos provide additional exposure to key concepts and examples.

Videos are narrated and close-captioned. Video types include - Whiteboard-style problem-solving videos - StatTutor video lessons - Animated lectures and documentary-style videos that illustrate real world scenarios involving statistics EESEE Electronic Encyclopedia of Statistical Examples and Exercises Case Studies , developed by the Ohio State University Statistics Department, teach students to apply their statistical skills by exploring actual case studies using real data.

Video Technology Manuals are brief instructional videos that provide basic introductions for working with CrunchIt! Statistical software options CrunchIt! With the student edition of JMP, students handle large data, visualizations, and analysis for which the professional version is renowned. Additionally, text-specific data sets are included for download.

Technology integration and outputs from the most common statistical software notably Excel, Minitab, JMP, SPSS, and R and the use of interactive applets show how statistical analyses are performed, while reinforcing concepts and methods rather than calculations.

Caution callouts , marked with an icon, carefully and clearly guide students away from common pitfalls and misconceptions. Look Back margin notes remind students of key terms and provide page references to where the terms are first introduced. Beyond the Basics sections give quick overviews of optional topics such as density estimation, scatterplot smoothers, data mining, nonlinear regression, and meta-analysis.

Challenge exercises stretch students with open-ended investigation, deeper thought about the basic concepts, or mathematical techniques.

New to This Edition. Nowadays, students can have access to all kinds of technology for computation and it is very important to make sure they understand what is behind those numbers. Not frustrating to students! Digital Options. Achieve Achieve is a comprehensive set of interconnected teaching and assessment tools that incorporate the most effective elements from Macmillan Learning's market leading solutions in a single, easy-to-use platform. E-book Read online or offline with all the highlighting and notetaking tools you need to be successful in this course.

Table of Contents. Moore David S. McCabe George P. Craig Bruce A. Instructor Resources Need instructor resources for your course? Go To Test Bank. Download Resources You need to sign in to unlock your resources. Request Selected. Back Matter Image Slides. Ch 1 Image Slides. Ch 2 Image Slides. Ch 3 Image Slides.

Ch 4 Image Slides. Ch 5 Image Slides. Ch 6 Image Slides. Ch 7 Image Slides. Ch 8 Image Slides. Ch 9 Image Slides. Ch 10 Image Slides. Ch 11 Image Slides. Ch 12 Image Slides. Ch 13 Image Slides. Ch 14 Image Slides. Ch 15 Image Slides. Ch 16 Image Slides. Ch 17 Image Slides. Front Matter Image Slides. Ch 1 Instructor Solutions Manual.

Ch 2 Instructor Solutions Manual. Ch 3 Instructor Solutions Manual. Ch 4 Instructor Solutions Manual. Ch 5 Instructor Solutions Manual. Ch 6 Instructor Solutions Manual. Ch 7 Instructor Solutions Manual. Ch 8 Instructor Solutions Manual. Ch 9 Instructor Solutions Manual. Ch 10 Instructor Solutions Manual. Ch 11 Instructor Solutions Manual. Ch 12 Instructor Solutions Manual. Ch 13 Instructor Solutions Manual.

Ch 14 Instructor Solutions Manual. Ch 15 Instructor Solutions Manual. Ch 16 Instructor Solutions Manual. Ch 17 Instructor Solutions Manual. Ch 1 Lecture Slides. Ch 2 Lecture Slides. Ch 3 Lecture Slides. Ch 4 Lecture Slides. Ch 5 Lecture Slides. Ch 6 Lecture Slides. Ch 7 Lecture Slides. Ch 8 Lecture Slides. Ch 9 Lecture Slides. Ch 10 Lecture Slides. Ch 11 Lecture Slides. Ch 12 Lecture Slides.

Ch 13 Lecture Slides. Ch 14 Lecture Slides. Ch 15 Lecture Slides. Ch 16 Lecture Slides. Ch 17 Lecture Slides. Ch 1 Clicker Questions. Ch 2 Clicker Questions. Ch 3 Clicker Questions. Ch 4 Clicker Questions.