The Excel Data And Statistics Cookbook Third Edition
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The Excel Data and Statistics Cookbook, Third Edition
The Excel Data and Statistics Cookbook,3rd edition, covers all the basic descriptive and inferential statistics taught in an introductory class. Completely updated to illustrate Excel 2013, 2011 (for Mac), and 2010, this book is classroom-tested and instructor-approved.
Excel Scientific and Engineering Cookbook
Author: David M Bourg
language: en
Publisher: "O'Reilly Media, Inc."
Release Date: 2006-01-17
Given the improved analytical capabilities of Excel, scientists and engineers everywhere are using it--instead of FORTRAN--to solve problems. And why not? Excel is installed on millions of computers, features a rich set of built-in analyses tools, and includes an integrated Visual Basic for Applications (VBA) programming language. No wonder it's today's computing tool of choice. Chances are you already use Excel to perform some fairly routine calculations. Now the Excel Scientific and Engineering Cookbook shows you how to leverage Excel to perform more complex calculations, too, calculations that once fell in the domain of specialized tools. It does so by putting a smorgasbord of data analysis techniques right at your fingertips. The book shows how to perform these useful tasks and others: Use Excel and VBA in general Import data from a variety of sources Analyze data Perform calculations Visualize the results for interpretation and presentation Use Excel to solve specific science and engineering problems Wherever possible, the Excel Scientific and Engineering Cookbook draws on real-world examples from a range of scientific disciplines such as biology, chemistry, and physics. This way, you'll be better prepared to solve the problems you face in your everyday scientific or engineering tasks. High on practicality and low on theory, this quick, look-up reference provides instant solutions, or "recipes," to problems both basic and advanced. And like other books in O'Reilly's popular Cookbook format, each recipe also includes a discussion on how and why it works. As a result, you can take comfort in knowing that complete, practical answers are a mere page-flip away.
Quantitative Social Science Data with R
This practical, step-by-step introduction to quantitative social science using R will provide low-level undergraduates with a foundation of understanding, ready to build upon as students advance throughout statistics