STAT 3130
Design and Analysis of Sample Surveys
Course Description
Prerequisites
A prior course in statistics
Disciplines
Quantification, Computation & Data Analysis
This course introduces main designs & estimation techniques used in sample surveys; including simple random sampling, stratification, cluster sampling, double sampling, post-stratification, ratio estimation; non-response problems, measurement errors. Properties of sample surveys are developed through simulation procedures. Prerequisite: A prior course in statistics.
Instructors
Justin Weinstock
Fall 2026
tuth 9:30am - 10:45am
—
Rating
—
Difficulty
3.56
GPA
Dan Spitzner
Fall 2023
MoWeFr 12:00pm - 12:50pm
1.7
Rating
3.4
Difficulty
3.12
GPA
Maria Ferrara
Spring 2018
—
Rating
—
Difficulty
3.58
GPA
Jeffrey Holt
Spring 2017
—
Rating
—
Difficulty
3.81
GPA
Faculty Staff
Spring 2015
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Rating
—
Difficulty
—
GPA
Amber Tomas
Spring 2015
1.0
Rating
4.0
Difficulty
2.95
GPA