Business statistics textbook pdf download

Complete Business Statistics, Statistics for Business and Economics, Modern Business Aczel, A. Complete Business Complete Business Statistics, 4th ed. Dugopolski: Algebra for College Students, 4th Ed. Hoshiar Mal. Yea Eun Kim. Cristian Issac. Yogendra Maurya. Ketan Ghritlahre. Tff Bbjh. Poorna Pushkala. Saba Kazi. Iqra Jawed. Sayeed Ahmad.

Subhajit Chakraborty. Shrawan Choudhary. Gopalakrishnan Kuppuswamy. Wesley Quiballo. More From nexusvon. Bowles [Third Edition]. Beyer, William H. Boca Raton Freund J. Walpole , Mathematical Statistics, Prentice-Hall, 4th edition. Aczel, Amir D. Complete Business Statistics , 6 th edition.

Outline STA 1 - rea. Comprehensiveness rating: 5 see less. From Chapter 4 to Chapter 7, those chapters introduce the basic concepts in both discrete random variables and continuous random variables.

This textbook also covers the confidence intervals, hypotheses tests, ANOVA and simple linear regression. In my opinions, those chapters are explained and organized consistently and easy to follow. For example, in CH4, there are only a few examples related to business.

As for a one quarter business statistics class, 13 chapters are still a little bit lengthy. For example, the textbook introduces normal distribution in Chapter 6, and Central Limit Theorem in Chapter 7, it might be appropriate to put Central Limit Theorem as a section in Chapter 6. When I began to read this textbook, I expected to see some application of Excel or even R, as using these software or programming language would be greatly helpful for our undergraduate students.

Although including the application of Excel might make the textbook lengthy, I think it might be useful for instructors to use show those applications to students and strengthen their understanding about how to use Excel or R to do basic business analysis.

This textbook is well organized consistently and easy to follow. It also provides numerous graphs and figures to visualize the statistical analysis. The contents of this textbook are internally consistent in terms of terminology and framework. At the end of each chapter, it summarizes the key terms, chapter review, formula review, which would be convenient for students to grasp the major contents.

There are 13 chapters in this textbook, and after reading each chapter, I think the text can be readily divided into smaller reading sections. For example, if I just want to introduce Chi-square distribution, then I can assign Chapter 11 for students to learn without asking them to read Chapter 7, which focuses on Central Limit Theorem.

Overall, the contents are well organized in a logical fashion. However, I want to point it out the Venn Diagrams in Chapter 3 taking much more spaces than it supposes to be. For example, from page to page , the Venn Diagrams take nearly a half page, which are not well organized in the flow. On page , the format of key terms are not well aligned and seem to be a little bit messy to follow. As an instructor to community college students, I think the content of this textbook is easy to go through for an introduction class of Business Statistics.

However, I think a textbook designated for teaching statistics for students majoring in Business, this textbook doesn't provide enough business analysis examples.

And I would also recommend the authors can add some applications of Excel or R to make statistical analysis more applicable for both students and instructors. This textbook covers all the relevant chapters for a one-semester Business Statistics undergraduate class.

Some of the concepts could more details e. Comprehensiveness rating: 4 see less. Some chapters do not include enough examples e. The statistical concepts are not going to change anytime soon, so the materials would be relevant probably for a long time. However, the presentation of examples and most importantly, the lack of business examples and the lack of data in Excel or other formats are going to be a bog issue for future instructors and students. As an Instructor, I love to demonstrate examples using MS Excel in class, and the lack of Excel data is a big concern for me.

And, there is no guidance for using data analysis software MS Excel, R, and others. It would be difficult to compete with the publisher textbooks who provide these supports. Overall, the text is clear, easy to understand, and concise. Some chapters have lots of graphs and examples. However, some concepts are very short and without many examples which makes it harder to grasp the concept. Also, elaborating some concepts would provide a better understanding to some concepts, such as, separating sections for simple and multiple linear regression model.

The chapters are independent of each other, and a chapter can easily be added or skipped based on individual needs. The topics are well organized, and the flow is smooth. As a minor suggestion, I would love to see reorganization of few concepts, such as hypergeometric distribution after geometric distribution in Chapter 4, and a short explanation of normal distribution in Chapter 5 and why it deserves to be a separate chapter Chapter 6.

Also, separating sections for simple and multiple linear regression model in Chapter 13 would make the structure more interesting. I did not find any interface issue. Both online and PDF versions work well without any distortions. I did not find anything insensitive or offensive. The texts and problems seem inclusive and unbiased. Overall, this is a book with the minimum number of chapters needed for an introductory business statistics course.

Some chapters and concepts could have been more elaborate with business relevant examples. One concern is the data availability for students to work on different concepts. Providing the data in Excel format would make the textbook much more attractive. All relevant chapters covered in most undergraduate introductory statistics classes are included and explained in a consistent and clear way that keep students engaged.

Considering that the book is intended to be used by students majoring in Considering that the book is intended to be used by students majoring in business, the application of statistical methods and tools in the business setting could have been more pronounced. There are a few chapters for example, on probability that barely mention any type of statistical problem set in the realm of management, finance, marketing, HR, etc. The book provides an effective index at the end, but not the glossary.

Though not an issue, the students should be instructed to find the term in the index and search for the definition in the corresponding chapter each chapter ends with key terms and a review which is quite helpful.

The standard statistical concepts that the book covers will not change any time soon. Though the lack of business-specific or pop culture examples might be a missed opportunity, providing the typical cards, balls and student GPA examples makes the book less likely to be dated in the next decade.

The text is clear, easy to follow and understand. The authors provide numerous examples to make the concepts comprehensible. The book is consistent in terms of language, tone, annotation and chapter structure introduce, give basic examples, build, add more complex problems, finish with reviews and practice problems.

The flow of the chapters is logical and can be easily divided into smaller sections. There are a number of subsections in a chapter that can be included or skipped based on the individual course learning goals. Overall, the topics are organized well in a logical fashion. There were a few instances in the book where individual instructors would choose to cover a specific sub-chapter earlier or later in the course, mostly to follow the research process from a question, hypotheses, design, data collection, analyses, interpretation….

However, since chapters are easily divisible, a different flow of topics can be easily arranged based on course needs and learning goals.