This course introduces the basic statistical regression model and design of experiments concepts. Topics include simple linear regression, multiple linear regression, least square estimates of parameters; hypothesis testing and confidence intervals in linear regression, testing of models, data analysis and appropriateness of models, generalized linear models, design and analysis of single-factor experiments.
[(MATH 474 with min. grade of C) OR (MATH 475 with min. grade of C and MATH 476 with min. grade of C)]