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SPSS for Dummies 2nd Edition

The fun and friendly guide to the world’s leading statistical software
Predictive Analysis Software (PASW), formerly SPSS software, is the leading statistical software used by commerical, government, and academic organizations around the world to solve business and research problems. It allows you to quickly and easily discover new insights from data, test hypotheses, and build powerful predictive models.

PASW Statistics For Dummies covers everything you need to know to get up and running with this efficient and practical software.

PASW Statistics is the leading statistical software used to analyze data and create predictive models; it is used by business, academic, and government entities worldwide
This guide explains how to work with automatic codebook generation and customize the variable view
Walks you through the rounding method that is used in all calculations and explains using predictive analysis
Shows how to maximize your use of graph templates, and much more

Even if you have little or no statistical or mathematical background, PASW Statistics For Dummies will show you how to generate statistical support and decision-making information quickly and easily.

Statistics for Big Data For Dummies

The fast and easy way to make sense of statistics for big data
Does the subject of data analysis make you dizzy? You’ve come to the right place! Statistics For Big Data For Dummies breaks this often-overwhelming subject down into easily digestible parts, offering new and aspiring data analysts the foundation they need to be successful in the field. Inside, you’ll find an easy-to-follow introduction to exploratory data analysis, the lowdown on collecting, cleaning, and organizing data, everything you need to know about interpreting data using common software and programming languages, plain-English explanations of how to make sense of data in the real world, and much more.

Data has never been easier to come by, and the tools students and professionals need to enter the world of big data are based on applied statistics. While the word “statistics” alone can evoke feelings of anxiety in even the most confident student or professional, it doesn’t have to. Written in the familiar and friendly tone that has defined the For Dummies brand for more than twenty years, Statistics For Big Data For Dummies takes the intimidation out of the subject, offering clear explanations and tons of step-by-step instruction to help you make sense of data mining―without losing your cool.

Helps you to identify valid, useful, and understandable patterns in data
Provides guidance on extracting previously unknown information from large databases
Shows you how to discover patterns available in big data
Gives you access to the latest tools and techniques for working in big data

If you’re a student enrolled in a related Applied Statistics course or a professional looking to expand your skillset, Statistics For Big Data For Dummies gives you access to everything you need to succeed.

Marketing Research Kit For Dummies

he tools you need to identify, obtain, record, and analyze data
Sure, access to data is faster and easier to obtain than ever before, but how do you cut through the clutter of information to find what’s most useful and organize it to suit your purposes? Marketing Research Kit For Dummies supplies a brimming box of tools that help you mine mountains of data, find the sources you need, and focus your marketing plan.

Whether you’re an entrepreneur, a small business owner, or a marketer in a large organization, this powerful resource and companion CD provide you with hands-on tools you need to identify, obtain, record, and analyze secondary, data-electronic and print-for developing or revising a marketing plan, launching a new product or service, or implementing long-term strategic planning. It also offers clear, in-depth instructions and customizable forms for conducting your own primary research.

Includes complete instructions for writing a research plan, conducting depth interviews, and focus groups
Fully explains the process of sampling, analyzing data, and reporting results
Features tips on developing questionnaires for face-to-face, Internet, and postal surveys
Helps you keep an eye on your competition and analyze their results

When money is tight and everything is on the line, you need to make sure you’ve done your homework. You need Marketing Research Kit For Dummies.

R For Dummies

presentations of your data
Get statistical ? find out how to do simple statistical analysis, summarize your variables, and conduct classic statistical tests, such as t–tests
Expand and customize R ? get the lowdown on how to find, install, and make the most of add–on packages created by the global R community for a wide variety of purposes
Open the book and find:
Help downloading, installing, and configuring R
Tips for getting data in and out of R
Ways to use data frames and lists to organize data
How to manipulate and process data
Advice on fitting regression models and ANOVA
Helpful hints for working with graphics
How to code in R
What R mailing lists and forums can do for you

Analysis Of Incomplete Multivariate Data

The last two decades have seen enormous developments in statistical methods for incomplete data. The EM algorithm and its extensions, multiple imputation, and Markov Chain Monte Carlo provide a set of flexible and reliable tools from inference in large classes of missing-data problems. Yet, in practical terms, those developments have had surprisingly little impact on the way most data analysts handle missing values on a routine basis.

Analysis of Incomplete Multivariate Data helps bridge the gap between theory and practice, making these missing-data tools accessible to a broad audience. It presents a unified, Bayesian approach to the analysis of incomplete multivariate data, covering datasets in which the variables are continuous, categorical, or both. The focus is applied, where necessary, to help readers thoroughly understand the statistical properties of those methods, and the behavior of the accompanying algorithms.

All techniques are illustrated with real data examples, with extended discussion and practical advice. All of the algorithms described in this book have been implemented by the author for general use in the statistical languages S and S Plus. The software is available free of charge on the Internet.