Dr. Shiju Zhang: szhang@stcloudstate.edu
There will be no in-office assistance. Students can get help from the instructor through the Zoom link: https://minnstate.zoom.us/j/6499950400 (Passcode: 3.14). When help is needed, students are suggested to make an appointment with the instructor. The instructor’s available times are mostly after 3:30 P.M. Monday to Friday. Weekends may also work.
Five projects, 5 quizzes, and one final exam. Each quiz/project is 10 points. The final exam is 50 points.
A = 90%; B = 80%; C = 70 %; D= 60%; F = below 60%
No Makeup for any quiz, project, or the final exam will be given, except there is a legitimate excuse.
Print this syllabus and stick it on your bedside wall.
Check for due dates on each Friday and prepare required work at least 12 hours ahead of due time.
Try to understand concepts and methods covered in this course before you use software to obtain results.
Do not be hesitant to ask the instructor any question you have.
Violations of academic integrity of any type provide grounds for disciplinary action by the instructor, the college, or the university. The instructor has a zero-tolerance policy for cheating.
There is no textbook. Suggested readings:
https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4754273/ (Nonparametric statistical tests)
https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7643794/ (Mann-Whitney&Kruskal–Wallis test)
https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3096219/ (Overview of basic statistics)
https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3932959/ (Kaplan-Meier Curves)
https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3059453/ (Kaplan-Meier Curves)
https://www.ncbi.nlm.nih.gov/pmc/articles/PMC1065034/ (Survival analysis)
https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3481035/ (Bootstrapping)
| Week | Topics | Due Dates (All on Monday except final exam) |
| 1 | discrete distributions, binomial distribution | 8/22 (none) |
| 2 | bootstrap ideas, one-sample confidence interval for \(\mu\) using bootstrap | 8/29 (none) |
| 3 | two-independent-sample-based confidence interval for \(\mu_1-\mu_2\) using bootstrap | 9/5 (hw 1: sampling distribution & bootstrap distribution) |
| 4 | Bootstrap CI for all regression coefficients | 9/12 (none) |
| 5 | one-sample test for \(\mu\); two-independent-sample-based test for \(\mu_1-\mu_2\) using randomization method | 9/19 (hw 2: bootstrap CI’s for regression coefficients; Bootstrap CI & Randomization test for \(\mu_1-\mu_2\)) |
| 6 | sign test | 9/26 (none) |
| 7 | Wilcoxon signed-rank test | 10/3 (hw 3: one-sample test for \(\mu\); two-independent-sample-based test for \(\mu_1-\mu_2\) using randomization method) |
| 8 | Wilcoxon rank-sum test: Mann-Whitney \(U\) | 10/10 (quiz 1: sign test; Wilcoxon signed-rank test) |
| 9 | Kruskal-Wallis \(H\) test | 10/17 (quiz 2: Mann-Whitney \(U\) test) |
| 10 | Kruskal-Wallis \(H\) test (cont’d) | 10/24 (quiz 3: Mann-Whitney \(U\)) |
| 11 | One-way repeated measures ANOVA, Friedman test | 10/31 (quiz 4: Kruskal-Wallis H) |
| 12 | t-test for ordinary correlation coefficient, test for Spearman’s correlation | 11/7 (none) |
| 13 | K-S & A-D Tests for Goodness of Fit | 11/14 (hw 4: one-way repeated measures) |
| 14 | The Kaplan-Meier Curve and Log-rank Test | 11/21 (quiz 5: Friedman test, Spearman’s and Kendall’s rank correlation tests) |
| 15 | 11/28 (none) | |
| 16 | 12/5 (hw 5: Kaplan-Meier Curve and Log-rank Test) | |
| 17 | Final Exam | 12/12 (Final exam: hand calculation & coding |