Introductory Business Statistics
Thomas K. Tiemann, Elon University
Copyright Year: 2010
Conditions of Use
It covers the several fundamental topics of statistics. Each topic is discussed in a concise manner. This textbook focuses more on how to teach students to choose the right method in various situations. I think this serves the need of the... read more
It covers the several fundamental topics of statistics. Each topic is discussed in a concise manner. This textbook focuses more on how to teach students to choose the right method in various situations. I think this serves the need of the contemporary students. One downside is that not enough examples are provided.
The content is accurate.
The examples are contemporary and I don't think they would become obsolete soon.
The text is comprehensible. Technical staffs are introduced using plain English so it is not overwhelming for students who are new to statistics. The author's 30-year experience really paid off.
The terminology and framework are consistent throughout the entire book.
Topics are well divided into chapters and sections. The instructor has much flexibility to elaborate on blocks deemed necessary and/or based on students progress.
The topics are presented in a nice and logic flow. It starts with the most basic descriptive statistics and two very commonly used distributions, followed by two types of inferences, estimation and hypothesis testing. It concludes with regression analysis.
There are some issues. The table of contents does not navigate to the actual sections. The font of numeric values and mathematical expressions are not uniform. The text in some figures are distorted.
No apparent grammatical errors.
The text is inclusive and not offensive.
The text covers almost all the first introductory business statistics topics. While I agree with the other reviewer, in that the text is not comprehensive in Statistics in general, it would be good enough for the first semester of business... read more
The text covers almost all the first introductory business statistics topics. While I agree with the other reviewer, in that the text is not comprehensive in Statistics in general, it would be good enough for the first semester of business statistics. I would like to add a chapter on Probability, though.
I don't see anything incorrect. Content is accurate, error-free and unbiased.
Statistics, especially the introductory level statistics, is not the topic with rapid changes. I don't find anything out-of-date. The necessary updates will be minor or none and easy to implement.
One of the strengths of this text is the comprehensible writing. It explains difficult concepts in easy language. And the author brings real-world examples whenever necessary.
Each chapter is consistent in format, structure as well as terminology.
The text has well-divided chapters so that an instructor can change the order of chapters or omit some chapter, without any problem.
While it doesn't have a serious interface issue, there are some minor problems. All the formula/equations are inserted as pictures and the resolution is a little disappointing. And the tables are also not in great shape. It is natural that there are many x-bars in any Statistics. But, the bar above x in this text floats too much.
No grammatical error.
The textbook is not culturally insensitive. All the examples are inclusive.
The text is concise but comprehensive. A short textbook but the concepts are well explained in plain English. It can be a great supplementary material. It seems the author knows how to present the concepts to students pretty well. I appreciate that I have a chance to review this textbook before I design my Statistics course. If this text can be combined with a plenty of exercise problems, it would be a great standalone textbook.
This textbook does contain a table of contents, but no index or glossary. Unfortunately, it does not cover all areas of statistics. It is designed "to help students understand how statistics works, not just how to "get the right number". In doing... read more
This textbook does contain a table of contents, but no index or glossary. Unfortunately, it does not cover all areas of statistics. It is designed "to help students understand how statistics works, not just how to "get the right number". In doing so, this book provides very good real-world examples of how statistics are applied.
The author brings over 30 years of experience teaching statistics. The content appears to be accurate, error-free and unbiased.
Even though this textbook was written in 2010, the content is and should continue to be relevant. I don't anticipate the terminology for statistics to change much. Also, examples used throughout this book are generic enough that different demographic groups reviewing this material will find it easy to understand. For instance, one example of a sample population the text uses includes athletes (basketball, volleyball) and sock sizes used. Easy to comprehend. The examples are not dated.
If there ever were a need to update the material, it would be pretty straightforward to do so.
The text is written as though the author is having a direct conversation with you in one of his intro to statistics courses. There is a comfortable, natural flow to it. The author knowingly anticipates when clarification is needed and provides greater detail and additional examples that are easy for the reader to comprehend.
Each chapter in the text is consistent in it's framework and terminology. Terminology is identified in bold lettering followed by their corresponding definitions. Topic headings within each chapter are shaded blue for easy identification.
At the beginning of the textbook, the author introduces the reader to a fictitious manufacturing company, Foothill Mills. Throughout the book, a couple of managers and their boss solve real-world business problems using statistics. It makes the material believable, easier, and consistent to follow when the same characters are used throughout the book.
The author's intention is to be able to use the chapters in this textbook in no particular order. Therefore, instructors will have an opportunity to realign chapters to fit their lesson plans. Subheadings are provided and shaded in blue for the reader to easily identify. I did not find enormous blocks of text without subheadings, making it easier to read.
Topics are presented in a logical, clear manner. Concepts of descriptive statistics, for example, are covered at the beginning of the book, before inferential statistics. It allows the reader to reach an understanding of how raw data is collected and utilized before turning it into information. Information gathered can then be used to form an opinion, or infer, about a population. Topics continue to flow smoothly as the reader moves through the book. By the end of the book, many of the topics are tied together, building on the reader's comprehension of the material.
I did find several interface issues. Several of the formulas, spreadsheets, and tables are split between two pages. It makes it more difficult for the reader to comprehend. It would have been more appropriate to display each of these features on the same page.
I also found sentences, multiple times, at the bottom of a page that ask the reader to "see below". In actuality, the reader must turn the page to "see below" a formula, spreadsheet, etc... This is somewhat confusing and distracting at times, having to flip back and forth between two pages.
I did not find any grammatical errors. Spelling, capitalization, punctuation and symbols were properly used.
The examples used throughout the textbook are inclusive. I did not find the book to be insensitive or offensive in any way.
I appreciated the manner in which the author wrote. I felt like he was talking directly to me, using general terms and examples I could relate to. He definitely considered the needs of his audience when presenting this material. I would use this textbook as a supplement to a current textbook I use. There are plenty of great examples, explanations, and definitions to terminology that would be helpful for my students to gain a better understanding of statistics.
Table of Contents
1. Descriptive statistics and frequency distributions
- Descriptive statistics
2. The normal and t-distributions
- Normal things
- The t-distribution
3. Making estimates
- Estimating the population mean
- Estimating the population proportion
- Estimating population variance
4. Hypothesis testing
- The strategy of hypothesis testing
5. The t-test
- The t-distribution
6. F-test and one-way anova
- Analysis of variance (ANOVA)
7. Some non-parametric tests
- Do these populations have the same location? The Mann-Whitney U testTesting with matched pairs: the Wilcoxon signed ranks test.
- Are these two variables related? Spearman's rank correlation
8. Regression basics
- What is regression?
- Correlation and covariance
- Covariance, correlation, and regression
About the Book
The book "Introductory Business Statistics" by Thomas K. Tiemann explores the basic ideas behind statistics, such as populations, samples, the difference between data and information, and most importantly sampling distributions. The author covers topics including descriptive statistics and frequency distributions, normal and t-distributions, hypothesis testing, t-tests, f-tests, analysis of variance, non-parametric tests, and regression basics. Using real-world examples throughout the text, the author hopes to help students understand how statistics works, not just how to "get the right number."
About the Contributors
Thomas K. Tiemann is Jefferson Pilot Professor of Economics at Elon University in North Carolina, USA. He earned an AB in Economics at Dartmouth College and a PhD at Vanderbilt University. He has been teaching basic business and economics statistics for over 30 years, and tries to take an intuitive approach, rather than a mathematical approach, when teaching statistics. He started working on this book 15 years ago, but got sidetracked by administrative duties. He hopes that this intuitive approach helps students around the world better understand the mysteries of statistics.