COMM 291 Lecture 4: C291_2010_Lectures202122.doc
16
COMM 291 Full Course Notes
Verified Note
16 documents
Document Summary
Commerce 291 lecture notes jonathan berkowitz (copyright, 2010) One major theme in statistical analysis is the construction of a useful model. In our situation it is a mathematical representation of a given physical situation. The representation may involve constants, called parameters, to be estimated from the data. For example, hooke"s law explains the relationship between the length of a spring and the mass hanging from the end of it. Newton"s laws include the famous force = mass x acceleration . Boyle"s law in physics says that pressure x volume = constant for a given quantity of gas. In each of these examples there is a systematic relationship between the outcome and the predictors. In addition to the systematic component there is also a random component (also called error , or a. Stochastic component if you want to impress people). The random component happens for a variety of reasons; some are measurement error, others are natural variability between experimental units.
