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), IG = Isabelle Grenier (TA; email address igrenier@ucsc.edu), HK = Hyotae Kim (TA; email address hkim153@ucsc.edu), DK = Daniel Kirsner (Head TA; email address dkirsner@ucsc.edu), AL = Arthur Lui (TA; email address alui2@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)

• (31 Mar 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.