Syllabus.

Instructor: Haiming Zhou.

Email: zhouh@niu.edu.

Office Hours: MW 2-3pm, and by appointment.

Office: 359E DuSable Hall, (331) 256-7793.

Class Meetings: MWF 10:00am - 11:50am, DuSable Hall 280.

Textbook: *Statistical Inference, 2th Edition. (2002)*, by Casella G. and Berger R.L.

- Review: Chapters 1-5. The distribution tables used in STAT 570 and 572.
- Chapter 6: Principles of Data Reduction.
- Chapter 7: Point Estimation.
- Chapter 8: Hypothesis Testing.
- Chapter 9: Interval Estimation.
- Chapter 10: Asymptotic Evaluations.

- Homework 1 . It is due in class on Friday, 9/14/2018.
*Solution*.*R code*. - Homework 2 . It is due in class on Monday, 10/8/2018.
*Solution*. - Homework 3 . It is due in class on Friday, 11/2/2018.
*Solution*. - Homework 4 . It is due in class on Monday, 11/19/2018.
*Solution*. - Homework 5 . It is due in class on Wednesday, 12/5/2018.
*Solution*.

- Exam I will be given on Wednesday (10/10/2018) and Friday (10/12/2018) in class. It covers Chapters 6 and 7. Books, notes or device with internet capability are not allowed. Calculator is allowed, but all memory in the calculator must be cleared before this exam. Formula sheet and scratch paper will be provided during the exam. Here is a set of Practice Problems. Solution.
- Exam II will be given on Wednesday (11/28/2018) and Friday (11/30/2018) in class. It covers Chapter 8. Books, notes or device with internet capability are not allowed. Calculator is allowed, but all memory in the calculator must be cleared before this exam. Formula sheet and scratch paper will be provided during the exam. Here is a set of Practice Problems. Solution.

- To install R, go to this website: https://www.r-project.org/ and follow the instructions there.
- Chapter 7: R code for finding MLE numerically.