Lecture 2

Discussing the characteristics of a well-planned experiment, steps in experimentation, basic principles of experimentation, and important terminology not covered in the first lecture.

Explaining the importance of precision in experiment design, including measuring differences with precision, experimenter precision, appropriate design, replication, and standard deviation.

Detailing the factors involved in experiment design such as absence of systematic error, selection of treatments, unbiased estimates, and range of validity of conclusions.

Emphasizing the importance of results being generalized for broader systems, considering factorial treatment sets, and designing experiments for uncertainty.

Explaining the concepts of randomization and replication in experimental design to minimize bias, control extraneous variation, and ensure accurate estimation of experimental error.

Detailing the concept of blocking in experiment design to control for uncontrollable variables, reduce experimental error, and ensure homogeneity in experimental runs.

Discussing confounding effects in experiments where multiple effects are tied together, leading to interactions and main effects, especially in higher-order factorial designs.

Distinguishing between fixed effect and random effect models in experiment design based on whether controllable variables are fixed or randomly selected.