Table of Contents
1. Descriptive statistics and frequency distributions
2. The normal and t-distributions
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
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.