SPSS Statistics For Dummies - Salcedo, Jesus; McCormick, Keith
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The fun and friendly guide to mastering IBM's Statistical Package for the Social Sciences
Written by an author team with a combined 55 years of experience using SPSS, this updated guide takes the guesswork out of the subject and helps you get the most out of using the leader in predictive analysis.
Covering the latest release and updates to SPSS 27.0, and including more than 150 pages of basic statistical theory, it helps you understand the mechanics behind the calculations, perform predictive analysis, produce informative graphs, and more. You'll even dabble in programming as you expand…mehr

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Produktbeschreibung
The fun and friendly guide to mastering IBM's Statistical Package for the Social Sciences

Written by an author team with a combined 55 years of experience using SPSS, this updated guide takes the guesswork out of the subject and helps you get the most out of using the leader in predictive analysis.

Covering the latest release and updates to SPSS 27.0, and including more than 150 pages of basic statistical theory, it helps you understand the mechanics behind the calculations, perform predictive analysis, produce informative graphs, and more. You'll even dabble in programming as you expand SPSS functionality to suit your specific needs.
_ Master the fundamental mechanics of SPSS
_ Learn how to get data into and out of the program
_ Graph and analyze your data more accurately and efficiently
_ Program SPSS with Command Syntax

Get ready to start handling data like a pro--with step-by-step instruction and expert advice!
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Autorenporträt
Jesus Salcedo is an independent statistical and data-mining consultant who has been using SPSS products for more than 25 years. He has written numerous SPSS courses and trained thousands of users. Keith McCormick has been all over the world training and consulting in all things SPSS, statistics, and data mining. He now authors courses on the LinkedIn Learning platform and coaches executives on how to effectively manage their analytics teams.