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

Instructors

Beth Andrews
847.467.4533
2006 Sheridan Road/Room 303/Dept of Statistics

Meeting Info

Tech Institute Lecture Room 5: Tues, Thurs 2:00PM - 3:20PM

Overview of class

We will develop concepts of probability theory necessary to understand statistical theory. Specific topics to be discussed include sample spaces, probability measures, conditional probability, independence, random variables, distributions, expected values, and limit theory. The sequel (320-2) emphasizes 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, and a 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 210-0 or 232-0 or PSYCH 201-0 or IEMS 201-0 or IEMS 303-0 or equivalent, and STAT 228-0 or MATH 235-0 or both MATH 226-0 and 230-2 or MATH 228-2 or 281-2 or 285-3 or 290-3 or 291-3 or ES_APPM 252-2