STA 302 H1F-1001 HF – METHODS OF DATA ANALYSIS I Summer 2018.pdf

STA 302 H1F-1001 HF – METHODS OF DATA ANALYSIS I Summer 2018.pdf

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STA 302 H1F / 1001 HF – METHODS OF DATA ANALYSIS I Summer 2018 Instructor: Alfred Benn, PhD. email: [email protected] O ce: SS 1091 Instructor O ce Hours: Fridays 10:00 am - 2:00 pm. Appointments for other times can be made via email or in class. Additional o ce hours will be scheduled before the mid-term test and data analysis project due dates. Teaching Assistants (TAs): To Be Announced (TBA) on Portal . TA Office Hours: TBA. Course announcements and a discussion board will be available through . Course Content: This course involves the analysis of data when regression models are appropriate. Although the focus is on the methodology of data analysis, some underlying theory will also be developed. Core topics to be covered include: initial examination of data, correlation, simple and multiple regression models using least squares, inference for regression parameters for normally distributed errors, condence and prediction intervals,
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