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Data Analysis with IBM SPSS Statistics

Data Analysis with IBM SPSS Statistics: Implementing data modeling, descriptive statistics and ANOVA

By Ken Stehlik-Barry , Anthony Babinec
$51.99 $35.99
Book Sep 2017 446 pages 1st Edition
eBook
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eBook
$51.99 $35.99
Print
$65.99
Subscription
$15.99 Monthly

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Product Details


Publication date : Sep 22, 2017
Length 446 pages
Edition : 1st Edition
Language : English
ISBN-13 : 9781787283817
Vendor :
IBM
Category :
toc View table of contents toc Preview Book toc Download Code

Key benefits

  • Leverage the power of IBM SPSS Statistics to perform efficient statistical analysis of your data
  • Choose the right statistical technique to analyze different types of data and build efficient models from your data with ease
  • Overcome any hurdle that you might come across while learning the different SPSS Statistics concepts with clear instructions, tips and tricks

Description

SPSS Statistics is a software package used for logical batched and non-batched statistical analysis. Analytical tools such as SPSS can readily provide even a novice user with an overwhelming amount of information and a broad range of options for analyzing patterns in the data. The journey starts with installing and configuring SPSS Statistics for first use and exploring the data to understand its potential (as well as its limitations). Use the right statistical analysis technique such as regression, classification and more, and analyze your data in the best possible manner. Work with graphs and charts to visualize your findings. With this information in hand, the discovery of patterns within the data can be undertaken. Finally, the high level objective of developing predictive models that can be applied to other situations will be addressed. By the end of this book, you will have a firm understanding of the various statistical analysis techniques offered by SPSS Statistics, and be able to master its use for data analysis with ease.

What you will learn

Install and set up SPSS to create a working environment for analytics Techniques for exploring data visually and statistically, assessing data quality and addressing issues related to missing data How to import different kinds of data and work with it Organize data for analytical purposes (create new data elements, sampling, weighting, subsetting, and restructure your data) Discover basic relationships among data elements (bivariate data patterns, differences in means, correlations) Explore multivariate relationships Leverage the offerings to draw accurate insights from your research, and benefit your decision-making

What do you get with eBook?

Feature icon Instant access to your Digital eBook purchase
Feature icon Download this book in EPUB and PDF formats
Feature icon Access this title in our online reader with advanced features
Feature icon DRM FREE - Read whenever, wherever and however you want
Buy Now

Product Details


Publication date : Sep 22, 2017
Length 446 pages
Edition : 1st Edition
Language : English
ISBN-13 : 9781787283817
Vendor :
IBM
Category :

Table of Contents

17 Chapters
Preface Packt Packt
Installing and Configuring SPSS Packt Packt
Accessing and Organizing Data Packt Packt
Statistics for Individual Data Elements Packt Packt
Dealing with Missing Data and Outliers Packt Packt
Visually Exploring the Data Packt Packt
Sampling, Subsetting, and Weighting Packt Packt
Creating New Data Elements Packt Packt
Adding and Matching Files Packt Packt
Aggregating and Restructuring Data Packt Packt
Crosstabulation Patterns for Categorical Data Packt Packt
Comparing Means and ANOVA Packt Packt
Correlations Packt Packt
Linear Regression Packt Packt
Principal Components and Factor Analysis Packt Packt
Clustering Packt Packt
Discriminant Analysis Packt Packt

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