Instructor: Likai Chen (likai.chen[at]wustl.edu)

Lectures: 2:00-2:50 p.m on Mondays, Wednesdays, and Fridays in Busch 100

Office hour: Mon 12:00 -1:00 p.m and Wed 3:00 p.m-4:30 p.m. Cupples I Room 107

TA: Peng, Siqi (siqi.peng@wustl.edu), Zhou, Tianwei (tianweizhou@wustl.edu)

TA hour: Monday 4-5 p.m. and Tuesday 10:30-11:30 a.m. Cupples I Room 6 (downstairs)

Grader: Han, Jane (hanzheyu@wustl.edu)

Robert Hogg, Joseph McKean and Allen Craig,

Introduction to Mathematical Statistics, 7th/8th edition

Pearson Prentice Hall, 2018

Remarks:

Solutions to selected problems are in the back of the book.

There will be two midterms and one final. Midterms are in class on 10/04 and 11/15. The final is scheduled 12/16 3:30 p.m.-5:30 p.m. All exams are closed book and closed note. No web-enabled devices may be used. One page (letter size and two-sided) note may be brought to exams. All the distribution tables will be provided by the instructor. Calculators are allowed but not required.

Make-up exams are strongly discouraged. If you are aware of a conflict, please inform the instructor before the exam. Make-up exam will only be given if (1) within 1 week of the standard exam and (2) suitable documentation is provided within 2 days.

There will be about 11 homework assignments throughout the semester. About 6 homework problems (may including computer homework problems) will be assigned each week and the solutions to all problems will be posted on the course website. Most of the exam and final questions will be similar to these. Hence you are strongly suggested to compare your answers with the posted solution. Weekly homework is due on Wednesday midnight. NO LATE HOMEWORK WILL BE ACCEPTED. One lowest grade of your hw will be dropped.

Your grade will be based on weekly homework, midterm and final exam.

Midterms | 25% each |

Final | 35% |

Homework | 15% |

The threshold for each grade

A | A- | B+ | B | B- | C + | C | C - |

88 or above | 85-88 | 83-85 | 77-83 | 75-77 | 73-75 | 65-73 | 60-65 |

Open-source software R for statistical computing, and its __ manual__ .

Download __ R __ from Wustl's software.

Download __ R Studio __ from its developer's website.