Provides advanced students with a comprehensive introduction to commonly encountered statistical and multivariate techniques, while assuming only a limited knowledge of higher level mathematics. Each technique chapter: discusses tests for assumptions of analysis, presents a small example and describes varieties of analysis.
Statistics is arguably the main means through which maths appears in non-maths courses. De-mystifying the basics for even the most maths-terrified of students, this book will inspire confident and accurate use of statistics for non-maths courses.
Encourages development of application and decision making skills for use in managing raw data and real-world projects. This book includes such topics as scattergrams and time series graphs, simple and multiple regressions, time series analysis, and random sampling.
A Practical Approach to using Multivariate Analyses Using Multivariate Statistics, 6th edition provides advanced undergraduate as well as graduate students with a timely and comprehensive introduction to today's most commonly encountered statistical and multivariate techniques, while assuming only a limited knowledge of higher-level mathematics.
In searching out the methodological principles on which grounded theory is built, the author reveals its main features as a qualitative research methodology for social research and the issues fundamental to understanding it. He also highlights the disagreements between the originators of grounded theory, their reasons, and their effects.
aeo An encyclopaedic reference text for all aspects of advanced medical statistics aeo Special regression problems have been added to the new edition aeo ". the standard text for professional medical statisticians. " -- Aslib Book Guide aeo new chapter on laboratory assays.
This fifth edition is appropriate for a one semester general course in Applied Statistics or as a reference book for practicing researchers in a wide variety of disciplines, including medicine, health and human services, natural and social sciences, law, and engineering.
This text concentrates on what statistics mean and how they are used, rather than how to calculate them, and this Second Edition contains new chapters on big data, small data situations, missing data and effect sizes.
Mathematics scares and depresses most of us, but politicians, journalists and everyone in power use numbers all the time to bamboozle us. Most of it is commonsense, and by using a few really simple principles one can quickly see when maths, statistics and numbers are being abused to play tricks which can waste millions of pounds.
From ancient Babylon to the last great unsolved problems, Ian Stewart brings us his definitive history of mathematics. In his famous straightforward style, Professor Stewart explains each major development - from the first number systems to chaos theory - and considers how each affected society and changed everyday life forever.
For the 1 or 2 semester course in Business Statistics. Emphasizing the use of statistical software like Excel and Minitab, this comprehensive text offers a rich array of business examples, real data, and a unique step-by-step framework that allows students to learn by doing.
Walking the reader through the steps of statistical tests and providing data sets and screen shots from SPSS, this student-friendly book helps students to successfully use statistical tests in SPSS, interpret the results and also to understand statistical concepts.
This leading dictionary contains over 3,000 clear and concise entries updated in line with curriculum and degree requirements. It covers pure and applied mathematics and statistics, features entry-level web links, and includes detailed appendices. Authoritative and comprehensive, this A-Z is invaluable for students and teachers of mathematics.
Many students studying economics do not have maths A-level, and struggle with it as a subject. This book will enable them to test how well they are progressing, as they revise for an exam or prepare for an assessment.
Offers a no-nonsense practical guide to statistics, providing concise summaries, clear model examples, and plenty of practice, making this workbook the ideal complement to class study or self-study, preparation for exams or a brush-up on rusty skills.
Statistics help us create Internet technologies, develop medicines, win elections, invest in stocks, predict the weather, and more. But the methods that produce important numbers remain beyond many of us. This book take us on a tour of this subject. It explores the key foundational concepts of statistics and the perils of improper methods.
Features easy-to-follow insight and clear guidelines to perform data analysis using IBM SPSS(R) Performing Data Analysis Using IBM SPSS(R) uniquely addresses the presented statistical procedures with an example problem, detailed analysis, and the related data sets.
A plain-English guide to the basics of trig Trigonometry deals with the relationship between the sides and angles of triangles. mostly right triangles. In practical use, trigonometry is a friend to astronomers who use triangulation to measure the distance between stars.
Offers what you need to make the most of building information modeling. If you're looking to get involved in the world of BIM, but don't quite know where to start, this book helps you in collaborative building using one coherent system of computer models rather than as separate sets of drawings.
Explores the mathematician's method of analyzing life, from the everyday to the cosmic, showing us which numbers to defend, which ones to ignore and when to change the equation entirely. This book tells us that maths touches on everything we do, and a little mathematical knowledge reveals the hidden structures that lie beneath the chaotic surface.
There are some mathematical problems whose significance goes beyond the ordinary - like Fermat's Last Theorem or Goldbach's Conjecture. This book explains why these problems exist, why they matter, what drives mathematicians to incredible lengths to solve them and where they stand in the context of mathematics and science as a whole.