Introduction to Survey Sampling (Stat 476)
Spring 2016

## General Information

Lecturer Zhiqiang Tan
Office: 459 Hill Center
Email: ztan at stat.rutgers.edu

Lectures: MW 1:40-3:00pm, ARC 107
Office hours: M 3:00-4:00pm, Th 1:00-2:00pm.
Teaching assistant Suzanne Thornton
Office: Hill 551, Email: suzanne.thornton at rutgers.edu
Office hours: Thu 3:00-3:30pm.
Prerequisite Stat 381 (Theory of probability).
Textbook Scheaffer, Mendenhall, Ott, Gerow (2011) Elementary Survey Sampling (7th edition), Duxbury.
Topics
 Introduction & basic concepts Chapter 1, 2, 3 Simple random sampling Chapter 4 Stratified random sampling Chapter 5 Ratio and regression estimation Chapter 6 Systematic sampling Chapter 7 Cluster sampling Chapter 8, 9 Estimating the population size Chapter 10
Exams and Homework There will be 2 midterm exam and a final exam. One page of information sheet, possibly double-sided, is allowed.
Homework will be assigned and collected.
Grading The final grade will be based on the following components with the weights:
 Homework: 20% Midterm Exam #1: 20% Midterm Exam #2: 20% Final Exam: 40%
Makeup policy Make-up exams will only be given if written documentation of a major outside circumstance is provided by a college dean or a doctor.
Students who miss exams without presenting proper documentation in a timely manner will receive a grade of zero.
Homework Assignments HW 1, HW 2, HW 3, HW 4, HW 5, HW 6, HW 7.

Scanned textbook problems in HW 1.
Scanned textbook problems in HW 2.
Click here for the dataset TEMPS and and here for the dataset SCHOOLS for HW 4.
Click here for the data in Exercise 8.2, here for the data in Exercise 8.8, and here for the data in Exercise 8.20.

Solution to textbook problems in HW 1.
Solution to Probability Problems in HW 1.

Solution to textbook problems in HW 2 (please ignore the answer to 4.30).
Solution to sampling and additional problems in HW 2. See HW2_R.txt for R codes and HW2_R_Output.pdf for R output.

Solution to textbook problems in HW 3.
Solution to sampling and additional problems in HW 3: HW3_R.txt for R codes and HW3_R_Output.pdf for R output.

Solution to textbook and additional problems in HW 4.
Solution to sampling and additional problems in HW 4: HW4_R.txt for R codes and HW4_R_Output.pdf for R output.

Solution to textbook problems in HW 5.
Solution to sampling and additional problems in HW 5: HW5_R.txt for R codes and HW5_R_Output.pdf for R output.

Solution to textbook problems in HW 6.
Solution to sampling and additional problems in HW 6: HW6_R.txt for R codes and HW6_R_Output.pdf for R output.

Solution to textbook problems in HW 7.
Solution to sampling and additional problems in HW 7: HW7_R.txt for R codes and HW7_R_Output.pdf for R output.

Announcements Jan 22
Note that the textbook should be 7th edition.
Feb 4
Feb 8
Click here for the R codes for simple random sampling *corrected for variance estimateion*.
Feb 10
HW 2 is extended to Wed, Feb 17.
Feb 17
The first midterm will be held on Mon, March 7.
Feb 24
Feb 28
Feb 29
Click here for the *updated* R codes for reading in a data file and handling post-stratification in HW 3.
March 2
Click here for solutions to the practice exam for the first midterm.
March 3
Click here for solutions to the practice exam for the first midterm, with *corrections* in Problem 1 and Problem 2(2).
March 21
Click here for the R codes for ratio, regression, and different estimation with simple random sampling. The dataset used is here.
Click here for the R codes for ratio estimation with stratified random sampling. Please run the codes yourself and check with the answers obtained by hand in class.
April 1
Click here for the R codes for cluster sampling. The dataset used is here.
April 4
April 6
The second midterm will be held on Wed, April 20.
Click here for the R codes for simple random sampling for Sampling from Real Populations 8.4 in HW 5.
April 7
Click here for illustration of stratified, cluster, and two-stage cluster sampling, as shown in class.
April 11
Click here for the R codes for two-stage cluster sampling. The dataset used is here.