Drawing upon over 40 years of experience, the authors of Statistics, 11th Edition provide business professionals with a clear and methodical approach to essential statistical procedures. The text clearly explains the basic concepts and procedures of descriptive and inferential statistical analysis. It features an emphasis on expressions involving sums of squares and degrees of freedom as well as a strong stress on the importance of variability. This accessible approach will help business professionals tackle such perennially mystifying topics as the standard deviation, variance interpretation of the correlation coefficient, hypothesis tests, degrees of freedom, p-values, and estimates of effect size.

Table of Contents

1. Introduction

Part 1: Descriptive Statistics: Organizing and Summarizing Data

2. Describing Data with Tables and Graphs

3. Describing Data with Averages

4. Describing Variability

5. Normal Distributions and Standard (Z) Scores

6. Describing Relationships: Correlation

7. Regression

Part 2: Inferential Statistics: Generalizing Beyond Data

8. Populations, Samples, and Probability

9. Sampling Distribution of The Mean

10. Introduction to Hypothesis Testing: The Z Test

11. More About Hypothesis Testing

12. Estimation (Confidence Intervals)

13. T Test for One Sample

14. T Test for Two Independent Samples

15. T Test for Two Related Samples (Repeated Measures)

16. Analysis of Variance (One Factor)

17. Analysis of Variance (Repeated Measures)

18. Analysis of Variance (Two Factors)

19. Chi -Square (X2) Test for Qualitative (Nominal) Data

20. Tests for Ranked (Ordinal) Data

21. Postscript: Which Test?