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MATH 564 - Applied Statistics

Course Description: 

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.

Credit: 

(3-0-3)

Prerequisite: 

[(MATH 474 with min. grade of C) OR (MATH 476 with min. grade of C) OR (MATH 563 with min. grade of C)]

Corequisite: 

None