The Radical Statistician: Unleashing the power of applied statistics in the real world is a statistics guide for the rest of us. No need to be a math major-or even good at math! Whether you are a working professional, a student, or simply a person who wants to better understand how to conduct, use or interpret statistical analyses, you will find this book an invaluable resource. Written by Dr. Jim Higgins, Ed.D., The Radical Statistician is intended to provide students and professionals alike with an easy-to-understand guide to applying statistical thinking and analysis in practical research, business, and other professional settings.
What others have said about The Radical Statistician
I have reviewed more than 100 statistics textbooks, and The Radical Statistician addresses the ongoing complaints I hear from people about why they didn’t get statistics. This book is ideal for people who want to gain a solid understanding of the basics of statistical thinking and apply that thinking to real-life situations. Dr. Higgins artfully applies his clear and easy-to-understand approach to each of the topics covered.
Irwin Jankovic, Ph.D. Strategic Program Manager, Human Resources Group Metropolitan Water District of Southern California
Dr. Jim Higgins’ statistical expertise was a key resource to me in my role of compliance director for a large corporation. He has the ability to readily identify an appropriate statistical analysis, crunch a large dataset in a matter of days, and, importantly, to display the results in a format that is understandable to the client, regardless of their statistical knowledge. His format and explanations make you comfortable understanding, communicating and dispositioning the results. Jim removes the intimidation from the math.
Cynthia Collver Former Corporate Compliance Director Defense IndustryGeneral
Topics Covered Introduction to measurement scales Measures of Central Tendency Measures of Variability Z-Scores Correlation Simple Linear Regression Multiple Linear Regression Experimental Design Independent Samples t-Tests Paired Samples t-Tests Analysis of Variance (ANOVA) Chi-Square Tips For Analyzing Data
About the Author
Dr. Jim Higgins holds a master’s degree in industrial and organizational psychology from California State University Sacramento with an emphasis in advanced techniques of personnel selection. He also holds a doctoral degree from the University of the Pacific in Stockton, California, with an emphasis in statistical techniques for identifying and addressing bias in cognitive assessment instruments. He has held senior management positions in government and industry where he applied advanced statistical methods while analyzing data in areas ranging from mental health outcomes to personnel selection, equal employment opportunity, human resources, and leadership development.
Jim has served as a professor of applied statistics for American River College in Sacramento and an adjunct professor of statistics for California State University Sacramento. Currently, Dr. Higgins is the senior managing director of The Higgins Group, LLC. Website: www.HigginsGrp.com.
