Fundamental data analysis

In this chapter you will: Develop an understanding of the importance and nature of quality control checks, understand the data entry process and data entry alternatives, learn how surveys are tabulated and cross-tabulated, understand the concept of hypothesis development and how to text hypotheses.

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Data can be analog or digital. The term analog data refers to information that is continuous; digital data refers to information that has discrete states. Analog data take on continuous values. Digital data take on discrete values.Data can be analog or digital. Analog data are continuous and take continuous values. Digital data have discrete states and take discrete values.

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Most firewalls can log events related to traffic that has been permitted or denied. Unfortunately, the sheer volume of data from even a moderately sized environment can quickly become unmanageable.

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Oracle Server Technologies and the Relational Paradigm The relational paradigm is highly efficient in many respects for many types of data, but it is not appropriate for all applications. As a general rule, a relational analysis should be the first approach taken when modeling a system. Only if it proves inappropriate should one resort to nonrelational structures. Applications where the relational model has proven highly effective include virtually all Online Transaction Processing (OLTP) systems and Decision Support Systems (DSS).

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Microsoft Analysis Services is server-based platform for on-line analytical processing (OLAP) and Data Mining Services provided with Microsoft SQL Server 2005. This tool is not new, but it has been completely rewritten from the ground up. While Analysis Services 2000 was more of an evolutionary release building on the same OLAP architecture that Microsoft (MS) introduced with SQL 7, the new version of SSAS is a fundamental change, built on Unified Dimensional Model (UDM). Microsoft released SSAS in November 2005, and it ships as an add-on to SQL Server 2005 just like its predecessors....

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