Stat 422: Sample Survey Methods (Live and EO)
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Syllabus
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Lectures
Schedule
Intro class review
Module 1&2: Introduction
Module 3: Basic Concepts
Module 4: Simple Random Sampling
Module 5: Stratified Random Sampling
Module 6: Ratio, Regression, Difference Estimation
Module 7: Systematic Sampling
Module 8: Cluster Sampling
Module 9: Two-Stage Cluster Sampling
Module 10: Estimating the Population Size
Coursework
Assignments
Takehome Exams
Project
Exam Reviews
Code
R
SAS
R Markdown
Data
Data used in example R and SAS code from lectures
Datasets from the textbook exercises. All are .csv (comma separated values) extension files
STUDENT
(.csv)
cars93
(.txt)
US population
US weather
TV1
TV2
(different layout of same dataset)
Orange sugar
MSA housing
sugarcane
trees
inventory
workloss
calculus class
audit
tree volumes
alligators
sewing machines
1
sewing machines2
anthills
Excel files; you MUST enable editing and enable content
sample size for direct
sample size for inverse
4.40
5.6
5.10
6.1
6.2
6.3
6.6
6.12
6.23
7.20
8.8
11.1
11.6
11.11
12.2
12.4
Home
Logistics
Contact
Syllabus
Links
Lectures
Schedule
Intro class review
Module 1&2: Introduction
Module 3: Basic Concepts
Module 4: Simple Random Sampling
Module 5: Stratified Random Sampling
Module 6: Ratio, Regression, Difference Estimation
Module 7: Systematic Sampling
Module 8: Cluster Sampling
Module 9: Two-Stage Cluster Sampling
Module 10: Estimating the Population Size
Coursework
Assignments
Takehome Exams
Project
Exam Reviews
Code
R
SAS
R Markdown
Data