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  2. BST 201LAB 2

Introduction to Statistical Methods - Required LAB
BST 201LAB 2

Course Information

Description

Covers basic statistical techniques that are important for analyzing data arising from epidemiology, environmental health and biomedical and other public health-related research. Major topics include descriptive statistics, elements of probability, introduction to estimation and hypothesis testing, nonparametric methods, techniques for categorical data, regression analysis, analysis of variance, and elements of study design. Applications are stressed. Designed for students desiring more emphasis on theoretical developments. Background in algebra and calculus strongly recommended.

BST201 is restricted to the following programs:
All Degrees in the following departments: Epidemiology (EPI), Division of Biological Sciences (DBS), Environmental Health (EH), Nutrition (NUT)
SM2: Global Health and Population (GHP)
SD and SM1: Social and Behavioral Sciences (SBS)
PHD: Biological Science in Public Health (BPH)
MPH: Quantitative Methods (QM)
Other programs please see ID201

School Harvard Chan School
Credits 0
Cross Reg

Available for Harvard Cross Registration

Department Biostatistics
Course Component Laboratory
Instruction Mode In Person
Grading Basis HSPH No Grade Associated
Course Requirements Students are required to enroll in both BST 201 and BST 201LAB. To enroll in a section of BST 201 LAB, students must first enroll in BST 201.