(4 reviews)

Thomas K. Tiemann, Elon University

Publisher: BCcampus

Language: English

CC BY

## Reviews

Reviewed by Naima Shifa, Associate Professor, DePauw University on 5/19/23

The book presents the right sequence of topics with a comprehensive description. It starts with the concept of descriptive statistics, then normal distribution, followed by t-distribution, and after that, estimation and hypothesis testing, and so... read more

Reviewed by Jiaxiu He, Assistant Professor, University of Texas at Arlington on 11/23/22

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

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

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

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