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IBM SPSS Statistics 19 Guide to Data Analysis Rating: 3.79 ( 422 Votes) IBM SPSS Statistics 19 Marija Norusis pdf IBM SPSS Statistics 19 Marija Norusis pdf download IBM SPSS Statistics 19 Marija Norusis audiobook IBM SPSS Statistics 19 Marija Norusis review IBM SPSS Statistics 19 Marija Norusis textbooks IBM SPSS Statistics 19 Marija Norusis Free You easily download any file type for your gadget.IBM SPSS Statistics 19 Guide to Data Analysis | Marija Norusis.
#Ibm spss statistics 19 how to
With this book, you'll learn how to describe data, test hypotheses, and examine relationships using PA. Easy-to-understand explanations and in-depth content make this guide both an excellent supplement to other statistics texts and a superb primary text for any introductory data analysis course.
#Ibm spss statistics 19 software
Since then she has written numerous volumes of highly acclaimed SPSS documentation,The PASW Statistics 19 Guide to Data Analysis is a friendly introduction to both data analysis and PASW Statistics 19 (formerly SPSS Statistics), the world's leading desktop statistical software package. During this time, she wrote her first book, The SPSS Introductory Guide.
#Ibm spss statistics 19 professional
She was SPSS's first professional statistician. SPSS WizardBy QueenOndineAfter going through this book for a Research Methodology course, you will be an SPSS wizard! Step by step instructions on how to use the software.0 of 0 peopAbout the AuthorMarija Norusis earned a PhD in biostatistics from the University of Michigan. This book has both and its a great tool if you are taking a stats class.1 of 1 people found the following review helpful. Good ExamplesBy Mackenzie MullinsThe main thing I look for in a book is whether or not it explains clearly, and if it has a variety of examples. Please visit for more details.0 of 0 people found the following review helpful. Instructor resources include a PowerPoint lecture course and Multiple-Choice Question tests, which are also available free of charge to lecturers adopting the book and their students. Each of the remaining chapters concentrates on one particular kind of research situation and the statistical techniques that are appropriate.In summary, IBM SPSS Statistics 19 Made SimpleGets you started with SPSS.Shows you how to describe and explore a data set with the help of SPSS's extensive graphics and data-handling menus.Helps you to choose appropriate statistical techniques.Warns you of pitfalls arising from the misuse of statistics.Shows you how to report the results of a statistical analysis.Shows you how to use Syntax to implement some useful procedures and operations.Introduces the reader to the analysis of covariance (ANCOVA)Has a comprehensive glossary.Is now presented in an attractive two-colour format.The book's accompanying website contains datasets for the chapters of the book, as well as a large body of exercises (with data sets), and notes on statistical terms.
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There is also a full description of the capabilities of the versatile Chart Builder. This text combines simplicity and clarity of presentation with a comprehensive treatment of the use of SPSS19 for the analysis and interpretation of data. The next chapters introduce the reader to the use of SPSS, beginning with the entry, description and exploration of data. It also offers guidance on the choice of statistical techniques, and advice (based on the American Psychological Association's guidelines) on how to report the results of a statistical analysis. The first chapter sets the scene with a survey of typical research situations, key terms and clear signposts to the location of each technique in the book. Each statistical technique is presented in a realistic research context and is fully illustrated with annotated screen shots of SPSS dialog boxes and output. In this edition, there is an introduction to the Analysis of Covariance (ANCOVA). As in earlier editions, coverage has been extended to address the issues raised by readers since the previous edition.
This practical and informal book combines simplicity and clarity of presentation with a comprehensive treatment of the use of IBM SPSS Statistics 19 for the description, exploration and confirmation of data. There remains a core of fundamental operating principles and techniques which have continued to apply to all releases issued in recent years and have been proved to be worth communicating in a small volume. Each new release of SPSS Statistics features new options and other improvements.
This new edition of one of the most widely read textbooks in its field introduces the reader to data analysis with the most powerful and versatile statistical package on the market: IBM SPSS Statistics 19.