First Published in 2017. As an applied branch of mathematics, statistical analysis is straightforward and non- controversial. Yet, there are dangers in using statistics that derive from two sources: Statistical Tricks: These occur when researchers deliberately attempt to mislead their readers. Also Statistical Traps: A researcher falls into a statistical trap when he or she naively or carelessly misapplies statistical methods or employs unsound research methods to generate statistical data. While a trap is not intentional, it can produce highly misleading results. However, this book will teach you what types of important questions researchers should address in their reports, and you will learn to take their results with a large grain of salt if they are not addressed.

This book is not like most books. Whereas, most books will quote research to prove or disprove a point, this book offers you the actual research. In the peer-reviewed section, you have the actual research study that asks, “Is the Belief in a Just World Rational?”; a study about the relationship between “Children of Divorce and its Effect on their Self Esteem”; one about “Relation of Self-acceptance and Acceptance of Others”; another about the moon “Lunar Phase and Acting Out Behavior,” and many more. In another section named “Book Appendices,” there are two actual studies that answer the question “Psychics! Do Police Departments Really Use Them?” In the “Book Review” section are published critiques on books entitled: “The Drunkard’s Walk: How Randomness Rules our Lives” by Leonard Mlodinow; “Crimes Against Logic: Exposing the Bogus Arguments of Politicians, Priests, Journalists, and other Serial Offenders” by Jamie Whyte; C. John Sommerville’s “How the News Makes us Dumb: The Death of Wisdom in an Information Society”. Ennis C. Almer’s “Statistical Tricks and Traps: An Illustrated Guide to the Misuses of Statistics”; “The Myth of Repressed Memory” by Elizabeth Loftus and Katherine Ketcham; Marilyn Vos Savant’s and Leonore Fleischer’s “Brain Building; Exercising Yourself Smarter”; and many more. In the section entitled “Non- Peer Reviewed Journal Articles” there is one entitled, “The Four R’s of a College Education: A Rubber Band, A Rubber Ball, A Razor, and The Pearson R;” One of the Durm family; one on the size of schools entitled “Is Bigger Better”; and others. Finally in the “Magazine Publications Section” there are four publications on the debunking of ghosts and one concerning the military, “Testing Tomorrow’s Tacticians: A Survey of the States’s Military Academies.” About the Author Mark W. Durm, Ph.D. is a Professor Emeritus of Athens State University in Athens, Alabama where he taught 38 years of his 47 years in higher education. His primary areas of instruction were critical thinking, statistics and physiological psychology. Dr. Durm has over 50 professional publications and has authored approximately 100 newspaper columns. His research has been quoted in books, peer-reviewed journals, magazines and national newspapers such as the New York Times and the Washington Post. He has been interviewed by different television stations in the Alabama area and his research (co-authored by Jane Sweat) concerning the use of psychics by police departments was the centerpiece of a documentary on Japanese television. Furthermore, he has received requests for copies of his research from over 15 foreign countries and many universities in the United States. Dr. Durm served in the Tennessee Army National Guard primarily at the Tennessee Military Academy and the 300th Mobile Army Surgical Hospital. He is a veteran of Desert Storm. Mark now heads his own company that invests in real estate in Alabama and other states. He resides on his farm in Athens and continues to research and write. Mark is the father of three children who are the joys of his life: Spencer, Sydni, and Sophia.

This book aims to compile typical fundamental-to-advanced statistical methods to be used for health data sciences. Although the book promotes applications to health and health-related data, the models in the book can be used to analyze any kind of data. The data are analyzed with the commonly used statistical software of R/SAS (with online supplementary on SPSS/Stata). The data and computing programs will be available to facilitate readers’ learning experience. There has been considerable attention to making statistical methods and analytics available to health data science researchers and students. This book brings it all together to provide a concise point-of-reference for the most commonly used statistical methods from the fundamental level to the advanced level. We envisage this book will contribute to the rapid development in health data science. We provide straightforward explanations of the collected statistical theory and models, compilations of a variety of publicly available data, and illustrations of data analytics using commonly used statistical software of SAS/R. We will have the data and computer programs available for readers to replicate and implement the new methods. The primary readers would be applied data scientists and practitioners in any field of data science, applied statistical analysts and scientists in public health, academic researchers, and graduate students in statistics and biostatistics. The secondary readers would be R&D professionals/practitioners in industry and governmental agencies. This book can be used for both teaching and applied research.

This guide explains what statistical indicators are, how they are developed and are to be interpreted to demystify the scientific or pseudo-scientific aura that surrounds them, and shows how they can be usefully applied for practical purposes.

You too can understand the statistics of life, even if you're math-challenged! What do you need to calculate? Manufacturing output? A curve for test scores? Sports stats? You and Excel can do it, and this non-intimidating guide shows you how. It demystifies the different types of statistics, how Excel functions and formulas work, the meaning of means and medians, how to interpret your figures, and more in plain English. Getting there learn how variables, samples, and probability are used to get the information you want Excel tricks find out what's built into the program to help you work with Excel formulas Playing with worksheets get acquainted with the worksheet functions for each step Graphic displays present your data as pie graphs, bar graphs, line graphs, or scatter plots What's normal? understand normal distribution and probability Hyping hypotheses learn to use hypothesis testing with means and variables When regression is progress discover when and how to use regression for forecasting What are the odds work with probability, random variables, and binomial distribution Open the book and find: Ten statistical and graphical tips and traps The difference between descriptive and inferential statistics Why graphs are good How to measure variations What standard scores are and why they're used When to use two-sample hypothesis testing How to use correlations Different ways of working with probability

Hundreds of practical tips to help WordPerfect users avoid problems when designing, creating, editing, formatting and printing a variety of documents.