This is the web page for STAT 131 section 1 (spring 2020). The following abbreviations will be used here:

DD = David Draper (Professor; email address draper@ucsc.edu ), LB = Laura Baracaldo (Head TA; email address lbaracal@ucsc.edu ), JF = Jacob Fontana (TA; email address jafontan@ucsc.edu ), Jizhou Kang (TA; email address kang37@ucsc.edu ), Yunzhe Li (TA; email address yli566@ucsc.edu ); and DS = DeGroot and Schervish (the textbook for the class).

The catalog description for STAT 131 is as follows:

Introduction to probability theory and its applications. Combinatorial analysis, axioms of probability and independence, random variables (discrete and continuous), joint probability distributions, properties of expectation, Central Limit Theorem, Law of Large Numbers, Markov chains. Students cannot receive credit for this course and course 203 and Computer Engineering 107. Prerequisite(s): course 11B or Economics 11B or Mathematics 11B or 19B or 20B. (General Education Code(s): Q, SR - Statistical Reasoning)

• (27 Jul 2020) Announcements will be posted in this section. The first Attachment section below will contain scanned PDF copies of the document camera lecture notes and extra lecture notes, as well as case studies and R code; the second Attachment section will contain secure documents, available only by logging into the web page.
• (27 Jul 2020, updated 28 Jul 2020) We have an MSI tutor for this class: Cynthia Villalobos (email address cgvillal@ucsc.edu ); her schedule of tutoring sessions is as follows: Mondays 1-2pm, Tuesdays 11am-noon, Thursdays 6-7pm, Saturdays 11am-noon. To participate in these sessions you need to sign up for them in an environment called TutorTrac; instructions on how to sign up are available here (the word 'here' is clickable). To work with Cynthia you want to sign up for 'Small Group Tutoring Sessions'.
• (28 Jul 2020): The recordings of all of the following things -- lectures, Q&A sessions, Tue/Thu morning discussion sections, and DD office 1.5-hour sessions -- that have already occurred are up and running, and the list of such recordings will be updated frequently from now until the end of the course. Here are the steps to access this course's videos: (1) go to your version of the Canvas page for this class and login; (2) click on the YuJa option in the menu on the left of the screen, at or toward the bottom; (3) click on All Courses under SHARED; (4) click on the folder marked STAT-131-01-...; and watch a video by clicking on it and then clicking the big gold arrow in the middle of the screen.