Somewhat revised/expanded new edition of a problem-oriented introductory undergraduate text, the first edition of which appeared about a decade ago. The author writes with courteous clarity, and imposes only modest demands upon the mathematical skills of her readers. Problems at the end of each of t View More...
A user-friendly guide beneficial to both researchers and students of the social sciences, this book provides a very comprehensive introduction to SAS and elementary statistical procedures. Step by step, this book guides beginners through the basic concepts of research and data analysis, to data input and on to ANOVA and MANOVA. The more advanced researchers will find the presentation of sophisticated statistical procedures invaluable. With this book you will learn to write SAS programs, interpret results, perform statistical analyses without a broad mathematics background, and summarize result... View More...
This text presents a collection of hands-on activities for students taking introductory statistics and is designed to engage the student as a participant in the learning process. The book is intended as a lab manual and organized around the major topics covered in most introductory courses. View More...
Geography students need a solid introduction to the variety of ways in which statistical procedures are used to explore and solve realistic geographic problems. This book is designed to provide a comprehensive and understandable introduction to statistical methods in a practical, problem solving framework. Students who use this text in a spatial analysis or statistical methods course should acquire a well-grounded foundation and feel comfortable in applying statistical techniques in research problems or situations that they might encounter in their subsequent geographic education and careers. ... View More...
Core text for courses in basic statistics in education and in the behavioral sciences. The focus is on getting students to understand statistical concepts. In simple, direct language and with a wealth of concrete examples, the book focuses on the foundational concepts of measurement in education and the behavioral sciences. This focus on core topics allows for in depth coverage to insure that students understand them. View More...
Categorical Data Analysis describes the most important methods, offering a unified presentation of modeling using generalized linear models and emphasizing loglinear and logit modeling techniques. Contributions of noted statisticians (Pearson, Yule, Fisher, Neyman, Cochran), whose pioneering efforts set the pace for the evolution of modern methods, are examined as well. Special features of the book include: Coverage of methods for repeated measurement data, which have become increasingly important in biomedical applications Prescriptions for how ordinal variables should be treated differentl... View More...
Practicing statisticians and scientists working in diverse fields need an authoritative reference handbook of statistical tables developed to "aid" in the investigation and solution of many of today's challenging problems. This book has been compiled and arranged to meet the needs of these users of statistics. View More...
DISCRETE PROBABILITY is a textbook, at a post-calculus level, for a first course in probability. Since continuous probability is not treated, discrete probability can be covered in greater depth. The result is a book of special interest to students majoring in computer science as well as those majoring in mathematics. Since calculus is used only occasionally, students who have forgotten calculus can nevertheless easily understand the book. The slow, gentle style and clear exposition will appeal to students. Basic concepts such as counting, independence, conditional probability, randon variable... View More...
Designed for a course in which the time available limits the number of topics covered. This book is written for general beginning statistics courses with a basic algebra prerequisite. It uses a non-theoretical approach, explaining concepts intuitively and teaching problem solving through worked examples step-by-step. View More...
Elementary Statistics: A Brief Version, 3rd Edition is a shorter version of the popular text Elementary Statistics: A Step by Step Approach, 5th Edition. This softcover edition includes all the features of the longer book, but is designed for a course in which the time available limits the number of topics covered. The book is written for general beginning statistics courses with a basic algebra prerequisite. The book uses a non-theoretical approach, explaining concepts intuitively and teaching problem solving through worked examples step-by-step. View More...
For algebra-based Introductory Statistics courses. Offering an approach with a visual/graphical emphasis, this text offers a number of examples on the premise that students learn best by doing. This book features an emphasis on interpretation of results and critical thinking over calculations. View More...
This title is designed for algebra-based introductory statistics courses. The authors combine 30 years of statistics teaching experience and offer here an approachable text with a comprehensive support package. View More...
Includes complete worked-out solutions to all of the Try It Yourself exercises, the odd-numbered exercises, and all of the Chapter Quiz exercises. View More...
Elementary Statistics has been written for the introductory statistics course and students majoring in any field. Although the use of algebra is minimal, students should have completed at least an elementary algebra course. In many cases, underlying theory is included, but this book does not stress the mathematical rigor more suitable for mathematics majors. Triola is the #1 best seller in the market long recognized for its student-friendly pedagogy and wealth of exercises using real data. The ninth edition offers new large and small data sets, a greater emphasis on interpreting results, and i... View More...
Arranged to facilitate use and highlight key concepts, this clear and concise text also includes many practical exercises, case studies, and real-world applications. Utilizing the modern biostatistical approach to studying disease, Epidemiology Kept Simple, Second Edition will provide readers with the tools to interpret epidemiological data, understand disease concepts, and prepare for board exams. The author fully explains all new terminology and minimizes the use of technical language, while emphasizing real-life practice in modern public health and biomedical research settings. View More...
This edition of Rosners text offers a mastery of methods most often used in medical research, with specific reference to actual medical literature and actual medical research. The approach minimizes mathematical formulation, yet gives complete explanations of all important concepts. Every new concept is systematically developed through completely worked-out examples from current medical research problems. Computer output is used to illustrate concepts when appropriate. View More...