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Data Analysis Using SQL and Excel

Data Analysis Using SQL and Excel - Second Edition

By : Gordon S. S. Linoff
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Data Analysis Using SQL and Excel

Data Analysis Using SQL and Excel

By: Gordon S. S. Linoff

Overview of this book

Data Analysis Using SQL and Excel, 2nd Edition shows you how to leverage the two most popular tools for data query and analysis—SQL and Excel—to perform sophisticated data analysis without the need for complex and expensive data mining tools. Written by a leading expert on business data mining, this book shows you how to extract useful business information from relational databases. You'll learn the fundamental techniques before moving into the "where" and "why" of each analysis, and then learn how to design and perform these analyses using SQL and Excel. Examples include SQL and Excel code, and the appendix shows how non-standard constructs are implemented in other major databases, including Oracle and IBM DB2/UDB. The companion website includes datasets and Excel spreadsheets, and the book provides hints, warnings, and technical asides to help you every step of the way. Data Analysis Using SQL and Excel, 2nd Edition shows you how to perform a wide range of sophisticated analyses using these simple tools, sparing you the significant expense of proprietary data mining tools like SAS.
Table of Contents (18 chapters)
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1
Foreword
17
EULA

Ratios and Their Statistics

The binomial distribution just counts up all the different combinations and determines which proportion of them meets particular conditions. This is very powerful for finding confidence intervals for a random process, as described in the previous section. This section introduces an alternative method that estimates a standard deviation for a ratio, and uses the normal distribution to approximate confidence ratios.

Using the normal distribution has two advantages over the binomial distribution. First, it is applicable in more areas than the binomial distribution; for instance, the methods here are more suited for comparing two ratios and asking whether they are the same. Second, SQL does not support the calculations needed for the binomial distribution, but it does support almost all the calculations needed for this method.

This section introduces the method for estimating the standard deviation of a ratio (which is actually derived from the standard error of...

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Data Analysis Using SQL and Excel
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