Dictionary of Statistics and Methodology by W. Paul Vogt; Burke Johnson
Publication Date: 2011-03-08
Statistics with Common Sense by David Kault
Publication Date: 2003-04-30
Applying statistical results to real life situations can be difficult or futile if you can't be certain what the results actually mean. This reference guide provides readers with the frequently elusive link between statistical results and practical applications. Students will learn the basic concepts and principles of statistics and probability, without getting bogged down in complicated theories and abstractions. Many statistics texts rely too heavily on mathematical formulas. Kault restores the emphasis to understanding statistical results and using common sense in decision making. Everyday examples bring the concepts to life. In the entry on hypothesis testing, Kault examines how a statistical result incorrectly overruled the common sense of many doctors. A chapter on random variables shows the chance that students will carry cell phones, and a chapter on categorical measurements uses statistics to determine the efficiency of a new treatment for a serious disease. Each chapter ends with questions that will help students further understand important concepts. Useful on its own and perfect as a means of expanding classroom discussions, this book is ideal for high school students or anyone needing to review the basics of statistics.
Naked Statistics by Charles Wheelan
Publication Date: 2013-01-07
Once considered tedious, the field of statistics is rapidly evolving into a discipline Hal Varian, chief economist at Google, has actually called "sexy." From batting averages and political polls to game shows and medical research, the real-world application of statistics continues to grow by leaps and bounds. How can we catch schools that cheat on standardized tests? How does Netflix know which movies you'll like? What is causing the rising incidence of autism? As best-selling author Charles Wheelan shows us in Naked Statistics, the right data and a few well-chosen statistical tools can help us answer these questions and more.For those who slept through Stats 101, this book is a lifesaver. Wheelan strips away the arcane and technical details and focuses on the underlying intuition that drives statistical analysis. He clarifies key concepts such as inference, correlation, and regression analysis, reveals how biased or careless parties can manipulate or misrepresent data, and shows us how brilliant and creative researchers are exploiting the valuable data from natural experiments to tackle thorny questions.And in Wheelan's trademark style, there's not a dull page in sight. You'll encounter clever Schlitz Beer marketers leveraging basic probability, an International Sausage Festival illuminating the tenets of the central limit theorem, and a head-scratching choice from the famous game show Let's Make a Deal--and you'll come away with insights each time. With the wit, accessibility, and sheer fun that turned Naked Economics into a bestseller, Wheelan defies the odds yet again by bringing another essential, formerly unglamorous discipline to life.
How to Lie with Statistics by Darrell Huff; Irving Geis
Publication Date: 1954-01-17
Over Half a Million Copies Sold--an Honest-to-Goodness Bestseller
Managing Dyadic Interactions in Organizational Leadership by Kanika T. Bhal; M. A. Ansari
Publication Date: 2000-12-18
The importance of leadership in any organization is a widely accepted and much studied phenomenon. However, the authors of this book maintain that most research on leadership has focused only on the leader and ignored subordinates, treating them as a homogeneous entity and passive recipients of leadership efforts. Treating the subordinate instead as an active partner in the leadership process, this book studies the relationship the develops between a leader and his/her subordinates in the framework of a dyadic relationship. This dyadic hypothesis is then tested both through rigorous statistical analysis and with the help of empirical data.