Statistical Theory & Methods 1 (320-1-22)

Instructors

Bradly Carson Stadie

Meeting Info

555 Clark B03: Tues, Thurs 2:00PM - 3:20PM

Overview of class

We will develop fundamental concepts of probability and statistical theory, with applications. Topics include sample spaces, probability measures, conditional probability, independence, random variables, distributions, expected values, variance, and limit theory. In this section of the course, we will also consider how these concepts arise in modern data science. The sequels (320-2,3) emphasize statistical inference.

Registration Requirements

Prerequisites/Co-requisites--Stat 228/Math 235 or Math 226-0 (Sequences and Series) and Math 230-2 (Multivariable Integral Calculus), and an introductory statistics course

Teaching Method

Lecture

Evaluation Method

Homework, midterm exam, final exam.

Class Materials (Required)

Learning materials will be provided by the instructor

Class Materials (Suggested)

Learning materials will be provided by the instructor

Class Attributes

Formal Studies Distro Area

Enrollment Requirements

Enrollment Requirements: Registration in this course is reserved for Data Science Majors only Co-requisites: STAT 202-0 or STAT 210-0, and STAT 228-0 or MATH 235-0 or both MATH 226-0 and MATH 230-2