MATH 170S (Introduction to Statistics) Lec 3, Winter 2023

General Information

Instructor:

Lecture:

Prerequisite:

Textbook:

Probability and Statistical Inference

Office Hour:

TA:

TA Discussion Section:

Course description:

Exams:

There will be one in-class midterm and a 3-hour final exam. Exam dates:
Midterm: Wednesday, Feb. 15 (Week 6), 1:00 PM - 1:50 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 one 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:

Week	Date	Section	Topics
1	M 1/9 W 1/11 F 1/13	6.1 6.2	Review of Probability Descriptive Statistics (additional notes 1 , 2 ) Exploratory Data Analysis (additional notes 1 , 2 )
2	M 1/16 W 1/18 F 1/20	6.3 6.4	No Class (MLK Day) Order Statistics Maximum Likelihood Estimation
3	M 1/23 W 1/25 F 1/27	6.4 6.5 6.5	Maximum Likelihood Estimation ( additional notes ) A Simple Regression Problem Linear Regression Continued , Method of Moments
4	M 1/30 W 2/1 F 2/3	6.7 6.8 6.8	Sufficient Statistics Bayesian Estimation Bayesian Estimation
5	M 2/6 W 2/8 F 2/10	7.1 7.2 7.3	Confidence Interval for Means Confidence Intervals for the Difference of Two Means Confidence Interval for Proportions
6	M 2/13 W 2/15 F 2/17	7.4 7.5	Sample Size Midterm Distribution-Free Confidence Intervals for Percentiles
7	M 2/20 W 2/22 F 2/24	8.1 8.2	No Class (President's Day) Tests About One Mean Tests of the Equality of Two Means
8	M 2/27 W 3/1 F 3/3	8.4 8.5 8.6	Tests About Proportions Some Distribution-Free Tests Power of a Statistical Test
9	M 3/5 W 3/7 F 3/9	8.7 8.8 8.8	Best Critical Regions Likelihood Ratio Test Likelihood Ratio Test
10	M 3/12 W 3/14 F 3/16	9.1 9.2	Chi-Square Goodness-of-Fit Test Contingency Tables Review
11	Sunday 3/19		Final