SPSS Statistics For Dummies SPSS Statistics For Dummies

SPSS Statistics For Dummies

    • $24.99
    • $24.99

Publisher Description

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!

GENRE
Business & Personal Finance
RELEASED
2020
August 11
LANGUAGE
EN
English
LENGTH
480
Pages
PUBLISHER
Wiley
SELLER
John Wiley & Sons, Inc.
SIZE
27
MB

More Books Like This

Next Generation Excel Next Generation Excel
2013
Using Excel for Business Analysis Using Excel for Business Analysis
2012
STATA Guide for Introductory Econometrics for Finance STATA Guide for Introductory Econometrics for Finance
2019
Minitab Demystified Minitab Demystified
2011
Advanced Excel Reporting for Management Accountants Advanced Excel Reporting for Management Accountants
2014
Python Guide for Introductory Econometrics for Finance Python Guide for Introductory Econometrics for Finance
2019

More Books by Jesus Salcedo & Keith McCormick

IBM SPSS Modeler Essentials IBM SPSS Modeler Essentials
2017
Machine Learning for Data Mining Machine Learning for Data Mining
2019
SPSS Statistics Workbook For Dummies SPSS Statistics Workbook For Dummies
2023
IBM SPSS Modeler Essentials IBM SPSS Modeler Essentials
2017
Machine Learning for Data Mining Machine Learning for Data Mining
2019