Now, there's an easy-to-use guide that will help you use statistics in your everyday work or study. Experienced educators David Levine and David Stephan help you learn statistics using plain English and with a minimum of mathematics, but with many examples and worked-out problems. You'll benefit from reading a plain language definition for each statistical concept that is followed by an interpretation section that explains the importance of the concept and how you can apply the concept to solve problems. You'll learn about the common misconceptions about statistics that people make, allowing you to better use statistics in your own work. Reinforcing your learning, you'll review lists of real-life examples or applications of a concept or, for more advanced concepts, read complete solutions to statistical problems that include actual calculator and spreadsheet results and illustrate how you can apply the concept to your own problems.You'll also be able to 'test yourself' at the end of a chapter to review the concepts and methods that you learned in the chapter.
Are you confused about which statistical tests to use, when you should be using them and why you should be using them? This book is about helping you to choose and use the right statistical technique to analyse your data and write about your results and findings convincingly.It provides a concise and accessible guide to the essential statistical skills needed for success in your assignment, project or dissertation. Berman Brown and Saunders concentrate on particular statistical tests and their three W's - what, why, and when.
Medical Statistics at a Glance, by Aviva Petrie and Caroline Sabin, leads the reader through a number of self-contained topics, each covering a different aspect of medical statistics. The majority of these use the standard at a Glance format of two pages per topic.
The authors have provided a basic introduction to the underlying concepts of medical statistics and a guide to the most commonly used statistical procedures. Topics describing a statistical technique are accompanied by a worked example, using real data, illustrating its use. Where possible, the same data set has been used in more than one topic to reflect the reality of data analysis. Detailed and complex hand calculations have been avoided with a concentration on the interpretation of computer data analysis.
Introduction to Statistics for Forensic Scientists is an essential introduction to the subject, gently guiding the reader through the key statistical techniques used to evaluate various types of forensic evidence. Assuming only a modest mathematical background, the book uses real-life examples from the forensic science literature and forensic case-work to illustrate relevant statistical concepts and methods.Opening with a brief overview of the history and use of statistics within forensic science, the text then goes on to introduce statistical techniques commonly used to examine data obtained during laboratory experiments. There is a strong emphasis on the evaluation of scientific observation as evidence and modern Bayesian approaches to interpreting forensic data for the courts. The analysis of key forms of evidence are discussed throughout with a particular focus on DNA, fibres and glass.An invaluable introduction to the statistical interpretation of forensic evidence; this book will be invaluable for all undergraduates taking courses in forensic science.
Each entry begins with a short summary statement about the test’s purpose, and contains details of the test objective, the limitations (or assumptions) involved, a brief outline of the method, a worked example, and the numerical calculation. 100 Statistical Tests, Third Edition is the one indispensable guide for users of statistical materials and consumers of statistical information at all levels and across all disciplines. is the one indispensable guide for users of statistical materials and consumers of statistical information at all levels and across all disciplines.
