Spss 2018 Statistics Guide
What statistical test should I use for this kind of data? How do I set up the data? What parameters should I specify when ordering the test? How do I interpret the results? Herschel Knapp 's friendly and approachable guide to real-world statistics answers these questions. Intermediate Statistics Using SPSS is not about abstract statistical theory or the derivation or memorization of statistical formulas–it is about applied statistics. With jargon-free language and clear processing instructions, this text covers the most common statistical functions–from basic to more advanced.
Basic Statistics Guide
SPSS User Guide. UCF Computer Labs. SPSS Statistics Essential Training. Applied Statistics: Using SPSS, Statistica, MATLAB, & R, 2nd ed. Our guides have step-by-step instructions with screenshots, notes and explanations to guide you through the SPSS Statistics procedure required to analyse your data in SPSS. What is the most suitable analysis technique for a set research goal? Which requirements must the data meet in order for this technique to be successfully.
Spss 2018 Statistics Guide To Data Analysis
Practical exercises at the conclusion of each chapter offer students an opportunity to process viable data sets, write cohesive abstracts in APA style, and build a thorough comprehension of the statistical process. Students will learn by doing with this truly practical approach to statistics. Provide an overview of each statistical method!
It’s easy to log on to SAGE’s password-protected Instructor Teaching Site for complete and protected access to all text-specific Instructor Resources for Intermediate Statistics Using SPSS. Simply provide your institutional information for verification and within 72 hours you’ll be able to use your login information for any SAGE title! Password-protected Instructor Resources include the following:. Online resources for instructors include PowerPoint files for each chapter. Solutions to all exercises. A multimedia learning package that is ideal for classroom use, distance/online learning, independent study, refresher education, and professional reference. KEY FEATURES:.
Clear, jargon-free language walks students through examples to assess the assumptions (pretest criteria), process the data, and document the results of each statistic. Margin icons help guide the navigation within each chapter. 17 downloadable tutorial videos provide an overview of each statistical process and directions for processing the pretest checklist criteria, ordering the statistical test, and interpreting the results. Practical exercises at the conclusion of each chapter offer students an opportunity to process viable data sets, write cohesive abstracts, and build a thorough comprehension of the statistical process.
Tables and notation as well as solutions to the abstract-writing exercises are consistent with APA style. Real-world examples and exercises–with corresponding downloadable data sets–provide students with the opportunity to discover the results of plausible research projects that span a variety of disciplines.