Using a qualitative approach to introduce statistical reasoning,The Numerate Leader: How to Pull Game-Changing Insights from Statistical Data is a cutting-edge book that helps the reader extract information from unfamiliar data sets. Combining introductory statistics with a few ideas from the philosophy of science, this work helps generalists find patterns that may be expected to recur in the future. Identifying one or two such relationships can be a game-changer for the reader and their employer or client.

Thomas A. King's revelatory writing is easy to understand and conversational in tone. King makes the complex, tedious topics that you studied in the classroombut likely didn't yet understandeasily comprehensible. Historical examples and humorous anecdotes illuminate technical concepts so that readers may pull insights from data sets and then explain conclusions reached through effective storytelling. What's more, the book is fun to read.

A natural teacher, King emphasizes that complex software is unnecessary for success in this field. Readers, however, will find:Real-life examples that help put statistical concepts into an understandable contextA glossary of important statistical terms and their useAn appendix detailing ten math facts numerate people should know

Perfect for undergraduate and graduate students entering advanced data analytics courses, as well as data analysts and c-suite executives just starting out,The Numerate Leader is key in helping develop the skills to identify provisional relationships between disparate data sets and then assess the significance of conclusions reached.

THOMAS A. KING, chair of the Department of Accountancy at Case Western Reserve University, worked for thirty years in various marketing, accounting, and financial roles at Progressive Insurance and, prior to that, worked on the audit staff of Arthur Andersen& Co. in New York. He is the author ofMore Than a Numbers Game: A Brief History of Accounting. The Numerate Leader is the book he wishes he had been given at the start of his career.

Preface vii

1. Numeracy 1

2. Zero [0] 13

3. Sample size [n] 25

4. Sample mean [x] 39

5. Sample standard deviation [s] 53

6. Normal distribution [N(x,s)] 67

7. z-score [z] 83

8. Correlation coefficient [r] 97

9. Coefficient of determination [r2] 111

10. Population mean [] 121

11. Central Limit Theorem [CLT] 135

12. Standard error [s/n] 147

13. Null hypothesis [H0] 163

14. p-value [p] 179

15. Slope [r(sY/sX)] 191

16. Causation 205

17. Science 221

18. Questions 231

Appendix A Glossary 241

Appendix B Ten math facts numerate people should know 253

References 263

About the author 267

Index 269