Math 4700 – Special Topics in Mathematics: Statistical Inference with R

Lecture Time: 12:00pm  1:50pm (TR)   Location: Knudson Hall 100

Textbook: Casella and Berger, Statistical Inference 2nd Ed.

Instructor: Mei Yin
Office and Office Hours: Zoom, 10:30am  12:00pm & 2:30pm  4:00pm (W), or by appointment

Please bring your laptop to the class, as we will be doing real-time coding in R.
Tentative Calendar:

The Week Of
Material Covered
January 3  January 6 Introduction to R (I)
January 9  January 13 Introduction to R (II)
January 17 January 20 Sufficiency Principle of Data Reduction
January 23  January 27 Likelihood Principle of Data Reduction
January 30  February 3 Methods of Finding Point Estimators
February 6 – February 10 Methods of Evaluating Point Estimators
February 13 February 17 Methods of Finding Hypothesis Tests
February 20 February 24 Methods of Evaluating Hypothesis Tests
February 27  March 3 Methods of Finding Interval Estimators
March 6 March 10 Project Presentation

Grading: Your final grade for the course will be determined based on a numerical weighted average calculated as follows: Homework 30% Midterm 30% Term Project 40%.

Homework: There will be four homework sets, due at the beginning of the class on Tuesdays January 17, January 31, February 21, and March 7.

Midterm: A take-home midterm will be given, with a tentative due date on Tuesday, February 14.

Term Project: The term project can be targeted towards either the theoretical or the applied aspect of statistics and is due on Friday, March 10.

Students with Disabilities: If you qualify for academic accommodations because of a disability or medical issue, please submit a faculty letter to me from Disability Services Program (DSP) in a timely manner so that your needs may be addressed. DSP determines accommodations based on documented disabilities/medical issues. DSP is located in Suite 22 on the lower level of Driscoll South, 303-871-2278. Information is also available online at; see the Handbook for Students with Disabilities.

Honor Code: Follow the Honor Code in all activities related to this course. Incidents of academic misconduct will be reported to and investigated by the Office of Student Conduct.

Religious Accommodations: University policy grants students excused absences from class or other organized activities for observance of religious holy days, unless the accommodation would create an undue hardship. Faculty are asked to be responsive to requests when students contact them in advance to request such an excused absence. Students are responsible for completing assignments given during their absence, but should be given an opportunity to make up work missed because of religious observance. Once a student has registered for a class, the student is expected to examine the course syllabus for potential conflicts with holy days and to notify the instructor by the end of the first week of classes of any conflicts that may require an absence (including any required additional preparation/travel time). The student is also expected to remind the faculty member in advance of the missed class, and to make arrangements in advance (with the faculty member) to make up any missed work or in-class material within a reasonable amount of time.

Other: Check the DU academic calendar for important dates throughout the quarter: