# MATH 170S (Introduction to Statistics) Lec 5, Winter 2023

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General Information
Instructor: Tianqi "Tim" Wu (Email: timwu at math dot ucla dot edu)
Lecture: MWF 4 PM - 4:50 PM (FOWLER A103B)
Prerequisite: Math 31A, Math 31B, Math 170E (or Math 170A or Statistics 100A)
Textbook: Hogg, Tanis, Zimmerman, Probability and Statistical Inference, 10th Edition
Office Hour: MWF 5:15-6:15 PM (MS 6240)
TA Discussion Sections:
• Dis 5A: T 4 PM - 4:50 PM (MS 5118)
TA: Tripti Agarwal (E-mail: triptiagarwal at ucla dot edu)
• Dis 5B: R 4 PM - 4:50 PM (MS 5118)
TA: Tanya Sharma (E-mail: tanyasharma16 at ucla dot edu)
Course description: The Math 170E and 170S two quarter probability and statistics sequence is aimed to equip Math-Econ and Financial Actuarial majors with essential skills in these areas. Math 170S is an introduction to statistics. Topics include sampling; estimation and the properties of estimators; construction of confidence intervals and hypotheses testing. It is designed to meet the Society of Actuaries' VEE Requirements for Mathematical Statistics. Letter grading.
Exams:
• There will be one in-class midterm and a 3-hour final exam. Exam dates:
Midterm: Wednesday, Feb. 15 (Week 6), 4:00 PM - 4:50 PM
Final: Sunday, Mar. 19 (Finals Week), 3:00 PM - 6:00 PM
• Please bring your UCLA ID to all exams.
• Exams will be closed-book and closed-notes. Formula sheets and tables will be provided. You may use a calculator, but no other electronic devices may be used.
• In general, there are no make-up exams. You must take the final exam in order to pass the class.
Grading policy:
• Your final grade is calculated as the maximum of the following two schemes:
Scheme 1: Homework (25%) + Midterm (30%) + Final (45%)
Scheme 2: Homework (30%) + Final (70%)
• Grading will be done through Gradescope.
• Grading complaints and regrade requests should be submitted to the instructor or the TA within a week of receiving your score, or else will not be considered.
Homework policy:
• Homework problems will be generally posted weekly and due a week from the date it is posted.
• A random subset of the problems will be graded.
• Submit homework as a PDF to Gradescope. Late homework will not be accepted, but the two lowest homework scores will be dropped.
• You are free to discuss homework problems with other people and consult with outside references. However, you cannot simply copy solutions from someone or somewhere else, but need to write solutions with your own understanding.
Tentative course schedule: