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Business Statistics and Analytics. Anchor Links Jump to Section. Business Analytics 3. Business Research Methods 1. Business Forecasting 1.
Business Statistics View All Products. Featured Products. Business Statistics: Communicating with Numbers 4th Edition. Essential Statistics in Business and Economics 3rd Edition.
Statistical Techniques in Business and Economics 18th Edition. The chapters are stand-alone, for the most part. So, professors need not teach the content sequentially. Ideas are organized systematically. Every chapter opens with a set of learning objectives and this gives direction to the learners.
The students are asked to reflect upon certain key questions, from time to time. Answers to these question are then made available in the content discussed. At the end of each chapter, certain key takeaways are listed. This facilitates a natural form of learning.
No culturally insensitive use of language or images noted. However, in the forthcoming iterations, the authors are requested to bring in more dimensions of global businesses.
Examples of business practices in other countries and cultures would add value. One chapter Chapter Hospitality and Tourism does not make a lot of sense.
One might wonder why the authors devoted a full chapter for one industry! Why not similar chapters for other industries? It almost sounds like one of the authors had a chapter written for some other purpose, which needed to be inserted in this book. There are several other examples and case studies related to tourism in this book, too.
Thinking of it positively, this book thus has an added advantages for students majoring in Hospitality and Tourism. The OER does well on covering topics in an introductory level business course. It adds a section that is not in typical business fundamental material of hospitality which compliments our new program that we started at our college. The examples in the book are commonly used in most topics of basic business fundamentals.
It should hold relevancy for more years. The book is clear in the writing that can be easily read. Business terms are well represented and explained thoroughly.
The material is written well for a student's first time learning business and how to apply it to what is happening around them. The book is consistent from chapter to chapter. The sources of material are well represented. Visuals compliment the written material. The chapters are seamless with transition from topic to topic.
It could easily be broken up into sections of reading during certain points in the course. This text seems to be set up well for student team work to learn on each important topic of business basics. Chapters are organized in a good way to learn all material and have it related to each former chapter.
Personally I will be teaching the chapters in a different order to complement a business plan being created by students. The book could use a few more visuals for students to relate to the material. Some of the visuals could use improvement, but as for the written material, it is clear and written well for beginners understanding business.
Globalization section addresses cultural differences in a way that is not culturally insensitive or offensive in any way. It used examples of variety of countries and global management practices.
Comprehensiveness rating: 4 see less. With a publication date, it is up-to-date and should have a shelf life of several years. The material is easily accessible to the Introduction to Business student. Well written and the material flows well. Consistency format for each of the chapters and interspersed well with photos, charts, and real-world stories.
The layout presents the material well and is easy to read. Chapter lengths and the length of the entire text fit well with the organization of a class over a semester. I might organize the material a bit differently as the Global and Ethics items are early in the text and I might bump them to later in the term after additional terminology is learned and can be applied to that material. That said, overall the text is laid out logically and "like" content is connected in successive chapters, e.
On the contrary, I think the text tackles diversity head on and provides a good review of the 21st Century workplace and marketplace. The material is appropriate for an introductory course to serve The material is appropriate for an introductory course to serve as the foundation for general business or to move on to a concentration in any of these business disciplines.
Chapter 15 focuses on the hospitality and tourism industry. This is a very specific chapter embedded within the book about an industry while the rest of the book is mostly general information that could be applied to any number or types of organizations. Still, out of 17 chapters there are 15 solid chapters that provide great content and overview of the subject matter.
The book is written in an easy to read format with no noticeable grammatical errors or formatting issues. It is easy to find topics within chapters based on the layout, fonts, etc. The information itself is rooted in fundamental concepts of each chapter's topic or subject matter within the business discipline and there are no overt attempts to lead the reader in a particular manner to form bias or opinions, other than to establish critical thinking of topics.
While there are some examples that may seem somewhat dated, they are explained in a manner that is easy to understand and they are relevant or "fit" within the context of the chapters and course concepts being discussed. The book is quite lengthy but given the 17 chapters that is to be expected. The author could probably eliminate two chapters on ancillary material to make it a shorter text but the chapters are not unnecessarily bloated for the sake of adding more vocabulary or unnecessary graphics.
The book uses easy to understand language, explains course concepts and terminology, and reinforces abstract ideas with examples. Overall it does a good job of relaying topics that are being introduced to students for the first time. The text remains consistent in present tense tone of voice, chapter structure is organized consistently throughout the text, and the use of masculine vs.
It is clear that the largest audience is assumed to be from the United States as most examples draw from regions in the U. The language seems to be free of bias. This text is an excellent choice for an introductory statistics course that has a broad group of students from multiple disciplines.
The basic theory is well covered and motivated by diverse examples from different fields. This diversity in discipline comes at the cost of specificity of techniques that appear in some fields such as the importance of measures of effect in psychology.
This book covers topics in a traditional curriculum of an introductory statistics course: probabilities, distributions, sampling distribution, hypothesis tests for means and proportions, linear regression, multiple regression and logistic While the traditional curriculum does not cover multiple regression and logistic regression in an introductory statistics course, this book offers the information in these two areas.
The book started with several examples and case study to introduce types of variables, sampling designs and experimental designs chapter 1. It would be nice if the authors can start with the big picture of how people perform statistical analysis for a data set. Chapter 2 covers the knowledge of probabilities including the definition of probability, Law of Large Numbers, probability rules, conditional probability and independence and linear combinations of random variables.
However, the linear combination of random variables is too much math focused and may not be good for students at the introductory level. Chapter 3 covers random variables and distributions including normal, geometry and binomial distributions.
Chapter cover the inferences for means and proportions and the Chi-square test. Chapter 7 and 8 cover the linear , multiple and logistic regression. The book used plenty of examples and included a lot of tips to understand basic concepts such as probabilities, p-values and significant levels etc.
The book provides an effective index. The drawback of this book is that it does not cover how to use any computer software or even a graphing calculator to perform the calculations for inferences. All of the calculations covered in this book were performed by hand using the formulas. As the trend of analysis, students will be confronted with the needs to use computer software or a graphing calculator to perform the analyses. Calculations by hand are not realistic.
However, when introducing the basic concepts of null and alternative hypotheses and the p-value, the book used different definitions than other textbooks. Students can easily get confused and think the p-value is in favor of the alternative hypothesis. The content is up-to-date. Especially, this book covers Bayesian probabilities, false negative and false positive calculations. The text also provides enough context for students to understand the terminologies and definitions, especially this textbook provides plenty of tips for each concept and that is very helpful for students to understand the materials.
The organization for each chapter is also consistent. Each chapter contains short sections and each section contains small subsections. The text is easily reorganized and re-sequenced.
The later chapters chapter are self-contained and can be re-ordered. The later chapters chapters are built upon the knowledge from the former chapters chapters The later chapters on inferences and regression chapters are built upon the former chapters chapters But there are instances where similar topics are not arranged very well: 1 when introducing the sampling distribution in chapter 4, the authors should introduce both the sampling distribution of mean and the sampling distribution of proportion in the same chapter.
The authors spend many pages on the sampling distribution of mean in chapter 4, but only a few sentences on the sampling distribution of proportion in chapter 6; 2 the authors introduced independence after talking about the conditional probability. The order of introducing independence and conditional probability should be switched. The approach of introducing the inferences of proportions and the Chi-square test in the same chapter is novel.
The students can easily see the connections between the two types of tests. The graphs and tables in the text are well designed and accurate. These graphs and tables help the readers to understand the materials well, especially most of the graphs are colored figures. Some examples are related to United States. Most of the examples are general and not culturally related.
The text offered quite a lot of examples in the medical research field and that is probably related to the background of the authors. The text provides enough examples, exercises and tips for the readers to understand the materials. It also offered enough graphs and tables to facilatate the reading. This text provides decent coverage of probability, inference, descriptive statistics, bivariate statistics, as well as introductory coverage of the bivariate and multiple linear regression model and logistics regression.
Although there are some Although there are some materials on experimental and observational data, this is, first and foremost, a book on mathematical and applied statistics.
Professors looking for in-depth coverage of research methods and data collection techniques will have to look elsewhere. The coverage of probability and statistics is, for the most part, sound. Most essential materials for an introductory probability and statistics course are covered. The authors do a terrific job in chapter 1 introducing key ideas about data collection, sampling, and rudimentary data analysis.
Chapters on statistical inference are especially strong, and the discussion of outliers and leverage in the regression chapters should prove useful to students who work with small n data sets. Teachers might quibble with a particular omission here or there e. In other cases I found the omissions curious. As well, the authors define probability but this is not connected as directly as it could be to the 3 fundamental axioms that comprise the mathematical definition of probability.
The authors limit their discussion on categorical data analysis to the chi square statistic, which centers on inference rather than on the substantive magnitude of the bivariate relationship. I wish they included measures of association for categorical data analysis that are used in sociology and political science, such as gamma, tau b and tau c, and Somers d. Finally, I think the book needs to add material on the desirable properties of statistical estimators i. Appendix A contains solutions to the end of chapter exercises.
The index is decent, but there is no glossary of terms or summary of formula, which is disappointing. There are some things that should probably be included in subsequent revisions. All of the chapters contain a number of useful tips on best practices and common misunderstandings in statistical analysis. There are also a number of exercises embedded in the text immediately after key ideas and concepts are presented. I suspect these will prove quite helpful to students.
Overall, the book is heavy on using ordinary language and common sense illustrations to get across the main ideas. They draw examples from sources e. There are no proofs that might appeal to the more mathematically inclined. There are lots of great exercises at the end of each chapter that professors can use to reinforce the concepts and calculations appearing in the chapter. I also appreciated that the authors use examples from the hard sciences, life sciences, and social sciences.
This will increase the appeal of the text. A teacher can sample the germane chapters and incorporate them without difficulty in any research methods class. Things flow together so well that the book can be used as is. The book presents all the topics in an appropriate sequence.
The color graphics come through clearly and the embedded links work as they should. It might be asking too much to use it as a standalone text, but it could work very well as a supplement to a more detailed treatment or in conjunction with some really good slides on the various topics. The text has a thorough introduction to data exploration, probability, statistical distributions, and the foundations of inference, but less complete discussions of specific methods, including one- and two-sample inference, contingency tables, It includes too much theory for our undergraduate service courses, but not enough practical details for our graduate-level service courses.
For example, it is claimed that the Poisson distribution is suitable only for rare events p. For example, there is a strong emphasis on assessing the normality assumption, even though most of the covered methods work well for non-normal data with reasonable sample sizes.
Normal approximations are presented as the tool of choice for working with binomial data, even though exact methods are efficiently implemented in modern computer packages.
The section on model selection, covering just backward elimination and forward selection, seems especially old-fashioned. Some topics seem to be introduced repeatedly, e. The authors are sloppy in their use of hat notation when discussing regression models, expressing the fitted value as a function of the parameters, instead of the estimated parameters pp. For example, I can imagine using pieces of Chapters 2 Probability and 3 Distributions of random variables to motivate methods that I discuss in service courses.
One-way analysis of variance is introduced as a special topic, with no mention that it is a generalization of the equal-variances t-test to more than two groups. The final chapter 8 gives superficial treatments of two huge topics, multiple linear regression and logistic regression, with insufficient detail to guide serious users of these methods.
It is as if the authors ran out of gas after the first seven chapters and decided to use the final chapter as a catchall for some important, uncovered topics. The availability of data sets and functions at a website www. OpenIntro Statistics covers a first course in statistics, providing a rigorous introduction to applied statistics that is clear, concise, and accessible.
We hope readers will take away three ideas from this book in addition to forming a foundation of statistical thinking and methods. But, when you understand the strengths and weaknesses of these tools, you can use them to learn about the world. David M. Diez is a Quantitative Analyst at Google where he works with massive data sets and performs statistical analyses in areas such as user behavior and forecasting.
Christopher D. Content Accuracy rating: 5 I see essentially no errors in this book. Clarity rating: 4 The writing in this book is above average. Consistency rating: 5 The book reads cleanly throughout. Modularity rating: 5 This book is highly modular. Interface rating: 3 I found no problems with the book itself.
Grammatical Errors rating: 5 I did not find any grammatical errors that impeded meaning. Cultural Relevance rating: 4 This book does not contain anything culturally insensitive, certainly. Comments This book is quite good and is ethically produced. Content Accuracy rating: 5 I have not noted any inconsistencies, inaccuracies, or biases. Clarity rating: 5 This book is very readable. Consistency rating: 5 The format is consistent throughout the textbook. Modularity rating: 5 The chapters are bookmarked along the side of the pdf file once downloaded.
Interface rating: 4 The colors of the font and tables in the textbook are mostly black and white. Grammatical Errors rating: 5 There do not appear to be grammatical errors. Cultural Relevance rating: 5 There are a variety of exercises that do not represent insensitivity or offensive to the reader. Comments I value the unique organization of chapters, the format of the material, and the resources for instructors and students.
Content Accuracy rating: 5 No inaccuracies found. Clarity rating: 4 Some topics in descriptive statistics are presented without much explanation, such as dotplots and boxplots. Consistency rating: 5 No issues noted. Modularity rating: 5 Seems fine. Interface rating: 5 Interface appears to be seamless. Grammatical Errors rating: 5 No problems noted.
Cultural Relevance rating: 5 No cultural insensitivity noted. Comments Overall, I would consider this a decent text for a one-quarter or one-semester introductory statistics textbook.
Content Accuracy rating: 4 It is accurate. Clarity rating: 5 The narrative of the text is grounded in examples which I appreciate. Consistency rating: 5 The terms and notation are consistent throughout the text. Modularity rating: 5 Each chapter is broken up into sections and each section has sub-sections using standard LaTex numbering.
Interface rating: 5 No display issues with the devices that I have. Grammatical Errors rating: 5 Typos that are identified and reported appear to be fixed within a few days which is great. Cultural Relevance rating: 4 Examples stay away from cultural topics. Content Accuracy rating: 5 I did not see any issues with accuracy, though I think the p-value definition could be simplified.
Clarity rating: 5 I found the book's prose to be very straightforward and clear overall. Consistency rating: 5 I did not find any issues with consistency in the text, though it would be nice to have an additional decimal place reported for the t-values in the t-table, so as to make the presentation of corresponding values between the z and t-tables easier to introduce to students e. Modularity rating: 5 The sections seem easily labeled and would make it easy to skip particular sections, etc.
Grammatical Errors rating: 5 I did not find any grammatical errors. Cultural Relevance rating: 5 I was impressed by the scope of fields represented in the example problems - everything from estimating the length of possums' heads, to smoke inhalation in one's line of work, to child development, and so on. Content Accuracy rating: 4 Everything appeared to be accurate. Clarity rating: 4 The text is well-written and with interesting examples, many of which used real data.
Consistency rating: 4 The book was fairly consistent in its use of terminology. Modularity rating: 4 The book is divided into many subsections. Interface rating: 5 I read the physical book, which is easy to navigate through the many references. Grammatical Errors rating: 4 I found virtually no issues in the grammar or sentence structure of the text.
Cultural Relevance rating: 5 There aren't really any cultural references in the book. Comments Overall, I liked the book. Content Accuracy rating: 5 I have used this book now to teach for 4 semesters and have found no errors. Clarity rating: 5 The writing in this book is very clear and straightforward. Consistency rating: 5 All of the notation and terms are standard for statistics and consistent throughout the book.
Interface rating: 5 Comes in pdf, tablet friendly pdf, and printed 15 dollars from amazon as of March, Grammatical Errors rating: 5 None.
Cultural Relevance rating: 5 The book includes examples from a variety of fields psychology, biology, medicine, and economics to name a few. Comments There are many additional resources available for this book including lecture slides, a free online homework system, labs, sample exams, sample syllabuses, and objectives. Content Accuracy rating: 4 The text is mostly accurate but I feel the description of logistic regression is kind of foggy.
Consistency rating: 5 The contents are consistent. Modularity rating: 5 The modularity is creative and compares well. Interface rating: 5 The interface is great! Grammatical Errors rating: 5 The grammar is good.
Cultural Relevance rating: 5 The text is culturally inclusive with examples from diverse industries. Content Accuracy rating: 5 The text and graphs are accurate. Clarity rating: 4 The writing is clear, and numerous graphs and examples make concepts accessible to students. Consistency rating: 4 The text is consistent. Modularity rating: 5 The text is organized into sections, and the numbering system within each chapter facilitates assigning sections of a chapter.
Interface rating: 5 Display of graphs and figures is good, as is the use of color. Grammatical Errors rating: 5 There are no grammatical errors. View More Textbook Editions. Section 1. Problem 1SE. Problem 2SE. Problem 3SE. Problem 4SE. See examples below:. The term statistic defines that it is a single measurement of a group of observations.
It is useful Data: Data is defined as a collection of items that an investigator studies.
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