Course Content
Data entry and storage. Descriptive statistics. Charts. Simple and multiple linear regression.
Analysis of variance by one and two factors. Non-parametric controls. Application using
computer software. The main goal is for the undergraduate student to understand random
variables and theoretical probability distributions, measurement scales of variables,
frequency tables, diagrams, measures of position and scattering, sampling techniques and
non-parametric methods, single and multiple regression, co-variation and correlation,
intervals of confidence, case controls and well-adjusted controls.
Learning Results
