Chapter 2 - Data

This book is called Stats: Data and Models by De Veaux, Velleman, and Bock. This book was published by Pearson Education. This book is geared towards the student who wants to study mathematics; data and models.

This book is clear and accessible for the student looking to learn how to read and write about statistical data. Statistics help us understand the world. Math is a discipline that takes hard work and dedication to learn. You use statistics in just about any information gathering moment of your life. This book will help organized and teach you what and how to complete that task.
This book is designed to engage the reader so that they actually read the text. This will hopefully allow me to interpret it in a way that I can reiterate it to you and build some dialog on the work. This book also comes with a CD-Rom that will allow the student to put more effort into learning the techniques.
This book has 31 short, focused chapters. A TI-83/84 Plus or TI-89 calculator is a good tool to have handy when studying math.

Chapter 2- Data

Data is the rule of the day here at Steemit. All data here is available for everyone; if they know where to look.
Data can be numerical, names, labels etc.. With data you have to be able to answer the who and what. With data you have to use context. This is the Five W’s and sometimes How. Without, knowing the context of the data you are looking at you really don’t have a clue what it is telling you.
In a database, rows are called records.

The characteristics recorded about each individual are called variables.

Variables are usually shown as the columns in a data table.
If your variables have measurement units; use the unit or it has no context.

When a variable names categories and answers questions about how cases fall into those categories, we call it a categorical variable. When a measured variable with units answers questions about the quantity of what is measured, we call it a quantitative variable.

A unique identifier is also an identifier variable. Identifier variables are great for confidentiality, it makes it possible to ccombine data from different sources and also you can use identifier variable s to provide unique labels.
You don’t want to analyze identifier variables. To start analyzing data we must know who, what and why. The more we know; the better. Data is information in a context.
Source Code

Work Cited

De Veaux, Richard D.

Stats: data and models/ Richard D. De Veaux, Paul F. Velleman, David E. Bock. –2nd ed.

p. cm.

Includes index.

ISBN 0-321-43379-3

1.	Statistics. 2. Mathematical statistics. I. Velleman, Paul F., 1949- II. Bock, David E. III. Title.

QA276.12.D417 2008

519.5 –dc22

ISBN-13 978-0-321-43379-4                                    ISBN- 10 0-321-43379-3

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