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.

Click here for the Probability Problems in HW 1.
Scanned textbook problems in HW 1.
Scanned textbook problems in HW 2.
Click here for the dataset CARS93 for HW 3.
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.
Click here for the data in Exercise 9.2.

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
        Click here for the R codes for simple random sampling.
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
        Click here for the R codes for stratified random sampling.
        Click here for the R codes for reading in a data file.
Feb 28
        Click here for a practice exam for the first midterm.
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 solutions to the first midterm.
        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
        Click here for the R codes for ANOVA in cluster sampling.
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.
        Click here for a practice exam for the second midterm.
April 14
        Click here for the R codes for ANOVA in two-stage cluster sampling.
        Click here for solutions to the practice exam for the second midterm.
April 18
        There are two typos in the textbook. \\ In Equation (6.25), the summation should be over ( y_i - (a+b x_i) )^2.\\ In Example 6.5 (page 184), the sample size n should be calculated using sigma^2 = 4.20, not 3.46.
April 25
        The solutions to HW 6 (textbook problems) are re-uploaded, with corrections to 9.14, 9.16.
April 28
        Click here for solutions to the second midterm.
        The final exam is scheduled at 12:00-3:00PM on Tue, May 10.