| Lecturer |
Zhiqiang Tan Office: 459 Hill Center Email: ztan at stat.rutgers.edu Lectures: MTh 1:00-1:20pm, PH 111 Office hour: MTh 1:30-2:30pm. | ||||||||||||||
| Teaching assistant |
Xinwei Zhang Email: xinwei.zhang at rutgers.edu Office hours: Fri, 2:00-4:00pm, Hill Center 260 | ||||||||||||||
| Prerequisite |
Stat 381 (Theory of probability) or equivalent. | ||||||||||||||
| Textbook |
Scheaffer, Mendenhall, Ott, Gerow (2011) Elementary Survey Sampling (7th edition), Duxbury. | ||||||||||||||
| Topics |
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| 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:
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| 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. 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 for HW 5. Click here for the R codes (as well as data) for simple random sampling for Sampling from Real Populations 8.4 in HW 5. Click here for the data in Exercise 9.2 in HW 6. Solution to textbook problems in HW 1. Solution to Probability Problems in HW 1. Solution to textbook problems in HW 2. 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 additional problems in HW 3. See 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 30 Click here for the plots of binomial and hypergeometric probabilities and here for the R codes. Feb 6 Click here for the R codes for simple random sampling. Feb 13 Click here for the updated R codes for simple random sampling. HW 2 is extended to Thu, Feb 20. Feb 20 The first midterm will be held on Mon, March 9. Feb 27 HW 3 is extended to Mon, March 9. The first midterm is re-scheduled to Thu, March 12. March 2 Click here for the R codes for stratified random sampling. Click here for the R codes for reading in a data file and handling post-stratification in HW 3. March 5 Click here for a review for the first midterm. Click here for a practice exam for the first midterm. March 9 Click here for solutions to the practice exam for the first midterm. March 17 The first midterm will be held remotely on Monday, March 23, 12:00-3:00PM Eastern time. See more instruction in the email sent to your addresses used on the roster. March 30 I will use Canvas Annoucements in conjunction with the course website and emails. 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 2 Click here for the R codes for ratio, regression, and different estimation with simple random sampling. The "tree" dataset used is here. April 7 Click here for the R codes for cluster sampling. The dataset used is here. April 9 Click here for the R codes for ANOVA in cluster sampling. April 17 Click here for the R codes for two-stage cluster sampling. The dataset used is here. April 20 Click here for the R codes for ANOVA in two-stage cluster sampling. Click here for a practice exam for the second midterm. April 23 Please see Canvas Files for solutions to the practice exam for the second midterm. Reminder: The secnod midterm will be held remotely on Monday, April 27, 12:00-3:00PM Eastern time. See Canvas for instruction. May 4 The final exam is scheduled at 1:00-5:30PM Eastern on Mon, May 11. Check Canvas for instruction (when posted). |