3. Theory for Data Design

In this chapter we develop theory behind the chance processes introduced in the Data Scope chapter. This theory makes the concepts of bias and variation more precise. We consider different protocols for selecting a sample, a technical framework for sampling error, and measurement error. We continue to motivate the randomness through the urn model first introduced in the Types of Variation section of that chapter, and we use probability and simulation to develop the theory.