Download business introduction7/2/2023 ![]() The contents of this textbook are internally consistent in terms of terminology and framework. It also provides numerous graphs and figures to visualize the statistical analysis. This textbook is well organized consistently and easy to follow. 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. ![]() However, I didn’t see those applications in this textbook. 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. The contents of this textbook are accurate, error-free and unbiased. 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. As for a one quarter business statistics class, 13 chapters are still a little bit lengthy. For example, in CH4, there are only a few examples related to business. However, as an introductory statistics textbook for students majoring in Business, I think this textbook probably doesn’t provide more relevant examples in Business. In my opinions, those chapters are explained and organized consistently and easy to follow. ![]() ![]() This textbook also covers the confidence intervals, hypotheses tests, ANOVA and simple linear regression. From Chapter 4 to Chapter 7, those chapters introduce the basic concepts in both discrete random variables and continuous random variables. There are 13 chapters, and the first 3 chapters focus on the introduction of data, descriptive statistics and probabilities. This textbook covers the major topics in the introductory of statistics. ![]() Reviewed by Shengnan Fang, Full-time Faculty, Linn-Benton Community College on 1/7/21
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