Indiana University Bloomington

Public Health Q502
Intermediate Statistics In Public Health

Contact: Zhongxue Chen zc3@indiana.edu
Offered: Spring, Fall, Every Year
Capacity: 40
Pre-Requisites: At least one graduate-level statistics course such as Q501
Algebra Required: Basic. Used for notation/homework.
Calculus Required: Basic. Used for notation/homework.
Contact Person for Authorization: At least a B grade in a graduate-level statistics course
Instructor: TBD
Days Per Week Offered: Two lectures a week; computer lab incorporated into the lectures.
Recommended follow-up classes: Q601, Q602, Q603, Q611, Q612
Syllabus: No Syllabus Avaliable
Keywords: SPSS, Fundamentals of hypothesis testing, z-tests, t-tests, factorial and repeated-measures ANOVA, various correlations, multiple regressions, and chi-square tests.
Description: 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.
Substantive Orientation: Public Health, Behavioral Sciences
Statistical Orientation: ?
Applied/Theoretical: applied with explanations (not derivations) of statistical foundations.
Software: SPSS
How 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.
Presentation: No.
Exams: Yes, there is a mid-term and a final.
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