SPSS syntax is the command language used by SPSS to carry out all of its commands and functions. In this book, Jacqueline Collier introduces the use of syntax to those who have not used it before, or who are taking their first steps in using syntax. Without requiring any knowledge of programming, the text outlines: - how to become familiar with the syntax commands; - how to create and manage the SPSS journal and syntax files; - and how to use them throughout the data entry, management and analysis process. Collier covers all aspects of data management from data entry through to data analysis, including managing the errors and the error messages created by SPSS. Syntax commands are clearly explained and the value of syntax is demonstrated through examples. This book also supports the use of SPSS syntax alongside the usual button and menu-driven graphical interface (GIF) using the two methods together, in a complementary way. The book is written in such a way as to enable you to pick and choose how much you rely on one method over the other, encouraging you to use them side-by-side, with a gradual increase in use of syntax as your knowledge, skills and confidence develop. This book is ideal for all those carrying out quantitative research in the health and social sciences who can benefit from SPSS syntax's capacity to save time, reduce errors and allow a data audit trail.

Accessibly written and easy to use, Applied Statistics Using SPSS is an all-in-one self-study guide to SPSS and do-it-yourself guide to statistics. Based around the needs of undergraduate students embarking on their own research project, the text's self-help style is designed to boost the skills and confidence of those that will need to use SPSS in the course of doing their research project. The book is pedagogically well developed and contains many screen dumps and exercises, glossary terms and worked examples. Divided into two parts, Applied Statistics Using SPSS covers : 1. A self-study guide for learning how to use SPSS. 2. A reference guide for selecting the appropriate statistical technique and a stepwise do-it-yourself guide for analysing data and interpreting the results. 3. Readers of the book can download the SPSS data file that is used for most of the examples throughout the book. Geared explicitly for undergraduate needs, this is an easy to follow SPSS book that should provide a step-by-step guide to research design and data analysis using SPSS.

"A well-written and -illustrated work, recommended for all college libraries. Lower-division undergraduates through faculty."
--CHOICE, December 2002

SPSS for Windows is the most widely used computer package for analyzing quantitative data. In a clear, readable, non-technical style, this book teaches beginners how to use the program, input and manipulate data, use descriptive analyses and inferential techniques, including: t-tests, analysis of variance, correlation and regression, nonparametric techniques, and reliability analysis and factor analysis.

The author provides an overview of statistical analysis, and then shows in a simple step-by-step method how to set up an SPSS file in order to run an analysis as well as how to graph and display data. He explains how to use SPSS for all the main statistical approaches you would expect to find in an introductory statistics course.

The book is written for users of Versions 6 and 6.1, but will be equally valuable to users of later versions.

Advanced Engineering Mathematics with MATLAB, Fourth Edition builds upon three successful previous editions. It is written for today's STEM (science, technology, engineering, and mathematics) student. Three assumptions under lie its structure: (1) All students need a firm grasp of the traditional disciplines of ordinary and partial differential equations, vector calculus and linear algebra. (2) The modern student must have a strong foundation in transform methods because they provide the mathematical basis for electrical and communication studies. (3) The biological revolution requires an understanding of stochastic (random) processes. The chapter on Complex Variables, positioned as the first chapter in previous editions, is now moved to Chapter 10. The author employs MATLAB to reinforce concepts and solve problems that require heavy computation. Along with several updates and changes from the third edition, the text continues to evolve to meet the needs of today's instructors and students. Features: Complex Variables, formerly Chapter 1, is now Chapter 10. A new Chapter 18: Ito's Stochastic Calculus. Implements numerical methods using MATLAB, updated and expanded Takes into account the increasing use of probabilistic methods in engineering and the physical sciences Includes many updated examples, exercises, and projects drawn from the scientific and engineering literature Draws on the author's many years of experience as a practitioner and instructor Gives answers to odd-numbered problems in the back of the book Offers downloadable MATLAB code at www.crcpress.com

Ideal for those already familiar with basic Excel features, this updated Third Edition of Neil J. Salkind's Excel Statistics: A Quick Guide shows readers how to utilize Microsoft (R) Excel's functions and Analysis ToolPak to answer simple and complex questions about data. Part I explores 35 Excel functions, while Part II contains 20 Analysis ToolPak tools. To make it easy to see what each function or tool looks like when applied, at-a-glance two-page spreads describe each function and its use with corresponding screenshots. In addition, actual data files used in the examples are readily available online at an open-access Student Study Site.

Sage est un logiciel libre de calcul mathematique s'appuyant sur le langage de programmation Python. Ses auteurs, une communaute internationale de centaines d'enseignants et de chercheurs, se sont donne pour mission de fournir une alternative viable aux logiciels Magma, Maple, Mathematica et Matlab. Sage fait appel pour cela a de multiples logiciels libres existants, comme GAP, Maxima, PARI et diverses bibliotheques scientifiques pour Python, auxquels il ajoute des milliers de nouvelles fonctions. Il est disponible gratuitement et fonctionne sur les systemes d'exploitation usuels. Pour les lyceens, Sage est une formidable calculatrice scientifique et graphique. Il assiste efficacement l'etudiant de premier cycle universitaire dans ses calculs en analyse, en algebre lineaire, etc. Pour la suite du parcours universitaire, ainsi que pour les chercheurs et les ingenieurs, Sage propose les algorithmes les plus recents dans diverses branches des mathematiques. De ce fait, de nombreuses universites enseignent Sage des le premier cycle pour les travaux pratiques et les projets. Ce livre est le premier ouvrage generaliste sur Sage, toutes langues confondues. Coecrit par des enseignants et chercheurs intervenant a tous les niveaux (IUT, classes preparatoires, licence, master, doctorat), il met l'accent sur les mathematiques sous-jacentes a une bonne comprehension du logiciel. En cela, il correspond plus a un cours de mathematiques effectives illustre par des exemples avec Sage qu'a un mode d'emploi ou un manuel de reference. La premiere partie est accessible aux eleves de licence. Le contenu des parties suivantes s'inspire du programme de l'epreuve de modelisation de l'agregation de mathematiques. Ce livre est diffuse sous licence libre Creative Commons. Il peut etre telecharge gratuitement depuis http: //sagebook.gforge.inria.fr/.

In this second edition of An Introduction to Stata Programming, the author introduces concepts by providing the background and importance for the topic, presents common uses and examples, then concludes with larger, more applied examples referred to as "cookbook recipes." This is a great reference for anyone who wants to learn Stata programming. For those learning, the author assumes familiarity with Stata and gradually introduces more advanced programming tools. For the more advanced Stata programmer, the book introduces Stata's Mata programming language and optimization routines.

The Statistical Imagination, a basic social science statistics text with illustrations and exercises for sociology, social work, political science, and criminal justice courses, teaches readers that statistics is not just a mathematical exercise; it is a way of analyzing and understanding the social world. Praised for a writing style that takes the anxiety out of statistics courses, the author explains basic statistical principles through a variety of engaging exercises, each designed to illuminate the unique theme of examining society both creatively and logically. In an effort to make the study of statistics relevant to students of the social sciences, the author encourages readers to interpret the results of calculations in the context of more substantive social issues, while continuing to value precise and accurate research. Ritchey begins by introducing students to the essentials of learning statistics; fractions, proportions, percentages, standard deviation, sampling error and sampling distribution, along with other math hurdles, are clearly explained to fill in any math gaps students may bring to the classroom. Treating statistics as a skill learned best by doing, the author supplies a range of student-friendly questions and exercises to both demystify the calculation process, and to encourage the kind of proportional thinking needed to master the subject. In addition to pencil-and-paper exercises, The Statistical Imagination includes computer-based assignments for use with the free Student Version SPSS 9.0 CD-ROM that accompanies each new copy of the book.