Reminder: The secnod midterm will be held remotely on Monday, April 27, 12:00-3:00PM Eastern time. Please see Canvas Files for solutions to the practice exam for the second midterm. The dataset used is here.Ĭlick here for the R codes for ANOVA in two-stage cluster sampling.Ĭlick here for a practice exam for the second midterm. The dataset used is here.Ĭlick here for the R codes for ANOVA in cluster sampling.Ĭlick here for the R codes for two-stage cluster sampling. The "tree" dataset used is here.Ĭlick here for the R codes for cluster sampling. Please run the codes yourself and check with the answers obtained by hand in class.Ĭlick here for the R codes for ratio, regression, and different estimation with simple random sampling. I will use Canvas Annoucements in conjunction with the course website and emails.Ĭlick here for the R codes for ratio estimation with stratified random sampling.
See more instruction in the email sent to your addresses used on the roster. The first midterm will be held remotely on Monday, March 23, 12:00-3:00PM Eastern time. The first midterm is re-scheduled to Thu, March 12.Ĭlick here for the R codes for stratified random sampling.Ĭlick here for the R codes for reading in a data file and handling post-stratification in HW 3.Ĭlick here for a review for the first midterm.Ĭlick here for a practice exam for the first midterm.Ĭlick here for solutions to the practice exam for the first midterm. The first midterm will be held on Mon, March 9. HW7_R.txt for R codes and HW7_R_Output.pdf for R output.Ĭlick here for the plots of binomial and hypergeometric probabilities and here for the R codes.Ĭlick here for the R codes for simple random sampling.Ĭlick here for the updated R codes for simple random sampling. Solution to sampling and additional problems in HW 7: HW6_R.txt for R codes and HW6_R_Output.pdf for R output. Solution to sampling and additional problems in HW 6: HW5_R.txt for R codes and HW5_R_Output.pdf for R output. Solution to sampling and additional problems in HW 5: HW4_R.txt for R codes and HW4_R_Output.pdf for R output. Solution to sampling and additional problems in HW 4: Solution to textbook and additional problems in HW 4. See HW3_R.txt for R codes and HW3_R_Output.pdf for R output. See HW2_R.txt for R codes and HW2_R_Output.pdf for R output. Solution to sampling and additional problems in HW 2. Solution to Probability Problems in HW 1. Here for the data in Exercise 8.20 for HW 5.Ĭlick here for the R codes (as well as data) for simple random sampling for Sampling from Real Populations 8.4 in HW 5.Ĭlick here for the data in Exercise 9.2 in HW 6. HW 1, HW 2, HW 3, HW 4, HW 5, HW 6, HW 7.Ĭlick here for the Probability Problems in HW 1.Ĭlick here for the dataset CARS93 for HW 3.Īnd here for the dataset SCHOOLS for HW 4. Students who miss exams without presenting proper documentation in a timely manner will receive a grade of zero. Make-up exams will only be given if written documentation of a major outside circumstance is provided by a college dean or a doctor. The final grade will be based on the following components with the weights: One page of information sheet, possibly double-sided, is allowed. There will be 2 midterm exam and a final exam. Scheaffer, Mendenhall, Ott, Gerow (2011) Elementary Survey Sampling (7th edition), Duxbury. Stat 381 (Theory of probability) or equivalent. Office hours: Fri, 2:00-4:00pm, Hill Center 260
General Information Lecturer Zhiqiang Tan Survey Sampling Introduction to Survey Sampling (Stat 476)
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