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.
Your email address will not be published. Save my name, email, and website in this browser for the next time I comment. Previous Product. Witte, John S. Representing the culmination of this effort, the present book provides a simple overview of descriptive and inferential statistics for mathematically unsophisticated students in the behavioral sciences, social sciences, health sciences, and education.
For example, the standard deviation is more than a formula; it roughly reflects the average amount by which individual observations deviate from their mean. Small batches of data define most computational tasks.
Single examples permeate entire chapters or even several related chapters, serving as handy frames of reference for new concepts and procedures.
These outputs can be either ignored or expanded without disrupting the continuity of the text. They are designed to minimize the cumulative confusion reported by many students for some chapters and by some students for most chapters. Each chapter ends with Review Questions. Other appendices provide a practical math review complete with self diagnostic tests, a glossary of important terms, and tables for important statistical distributions.
An electronic version of a student workbook, prepared by Beverly Dretzke of the University of Minnesota, also accompanies the text.
Self-paced and self-correcting, the workbook contains problems, discussions, exercises, and tests that supplement the text.
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