Next Page Previous Page Home Tools & Aids Search Handbook
1. Exploratory Data Analysis


EDA Assumptions

Summary The gamut of scientific and engineering experimentation is virtually limitless. In this sea of diversity is there any common basis that allows the analyst to systematically and validly arrive at supportable, repeatable research conclusions?

Fortunately, there is such a basis and it is rooted in the fact that every measurement process, however complicated, has certain underlying assumptions. This section deals with what those assumptions are, why they are important, how to go about testing them, and what the consequences are if the assumptions do not hold.

Table of Contents for Section 2
  1. Underlying Assumptions
  2. Importance
  3. Testing Assumptions
  4. Importance of Plots
  5. Consequences
Home Tools & Aids Search Handbook Previous Page Next Page