Introduction to Statistics: STAT 1021G
Date
2021-01
Authors
Journal Title
Journal ISSN
Volume Title
Publisher
YU Faculty Profile
Abstract
COURSE OVERVIEW Provides students with the fundamental principles of experimental design, statistical and exploratory data analysis and visualization, emphasizing research related to human health and clinical settings. Statistical topics include descriptive statistics, hypothesis testing, analysis of variance, correlation, regression, chi-square test, and non-parametric methods. COURSE LEARNING OUTCOMES By the end of this course, students will be able to:
- Explain the role of regression models, conduct and interpret inferential statistics and descriptive statistics.
- Plan and design analyses relevant for life sciences, formulate Null- and Alternative hypotheses and appropriately test these using statistical software.
- Read, interpret and understand analyses based on texts or statistical outputs.
- Interact and collaborate with epidemiologists, scientists and statisticians.
Description
SCW syllabus / YU only
Keywords
experimental design, data analysis, data visualization, human health settings, descriptive statistics
Citation
Raimann, Jochen G. (2021, Spring), Syllabus, Introduction to Statistics: STAT 1021G, Stern College for Women, Yeshiva University.