Q502 : Intermediate Statistics In Public Health
Upon completion of the course, students are expected to have good understanding on the fundamental statistical techniques and data analytical approaches that are commonly used in public health research and have competency and skills to conduct and interpret the findings of such statistical analyses as t-tests, repeated-measures and factorial analysis of variance, various types of correlations, multiple linear regression analyses, and chi-square tests.
School/Department: Public Health
Year(s) Offered: _2018
Class time: Monday, Wednesday : 9:30AM-10:45AM
Instructor: David King
Other Contact(s): Ming Li - firstname.lastname@example.org
Prerequisites: At least one graduate-level statistics course such as Q501
Algebra Required?: Basic. Used for notation/homework.
Calculus Required?: Basic. Used for notation/homework.
Day(s) per week offered: Two lectures a week; computer lab incorporated into the lectures.
Recommended follow-up classes: Q601, Q602, Q603, Q611, Q612
Substantive Orientation: Public Health, Behavioral Sciences
Statistical Orientation: ?
Applied/Theoretical: applied with explanations (not derivations) of statistical foundations.
Software Used: SPSS
How the software is used: data analysis, data management
Problem Sets: Yes, most requiring analysis and interpretation of data. Also, data management/manipulation.
Data Analysis: Yes in homework and take-home portion of the final exam.
Exams: Yes, there is a mid-term and a final.
Comments: Open to registered students only; no audits or sit-ins permitted. Open to graduates only.