Read more about Introductory Business Statistics

Introductory Business Statistics

(2 reviews)

Thomas K. Tiemann, Elon University

Copyright Year: 2010

Publisher: BCcampus

Language: English

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CC BY

Reviews

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Reviewed by Sang-Phil Kim, Assistant Professor, Winona State University on 8/2/18

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

Reviewed by Deb Merrigan, Instructor, Century College on 4/11/17

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

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

Ancillary Material

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  • 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

    Author

    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.