Statistical Theory & Methods 2 (320-2-22)
Instructors
Feng Ruan
Meeting Info
Technological Institute M152: Tues, Thurs 11:00AM - 12:20PM
Overview of class
This course presents an introduction to statistical theory and methodology. Topics covered include parameter estimation, confidence intervals, and hypothesis testing.
NOTE: If you took a STAT 320-1 equivalent course (STAT 383-0, MATH 310-1, MATH 311-1, MATH 314-0, MATH 385-0, ELEC_ENG 302-0, or IEMS 202-0), please see https://statistics.northwestern.edu/documents/stat320-1_and_its_equivalents.pdf for information on the topics that may not be covered in the equivalent course but that you will be required to understand for STAT 320-2. Students who have not taken STAT 320-1 are responsible for independently learning these topics prior to starting STAT 320-2.
Registration Requirements
Statistics 320-1 or equivalent*
*NOTE: If you took a STAT 320-1 equivalent course (STAT 383-0, MATH 310-1, MATH 311-1, MATH 314-0, MATH 385-0, ELEC_ENG 302-0, or IEMS 202-0), please see https://statistics.northwestern.edu/documents/stat320-1_and_its_equivalents.pdf for information on the topics that may not be covered in the equivalent course but that you will be required to understand for STAT 320-2. Students who have not taken STAT 320-1 are responsible for independently learning these topics prior to starting STAT 320-2.
Learning Objectives
Students will learn the theoretical basis for commonly-used statistical methods as well as some of the tools needed to develop statistical methods.
Teaching Method
Weekly lectures
Evaluation Method
Based on assignments and exams.
Class Materials (Required)
(a) An Introduction to Mathematical Statistics and Its Applications, 6th edition, by R.J. Larsen and M.L. Marx, published by Pearson, ISBN-13: 978-0-13-411421-7.
(b) Foundations and Applications of Statistics, An Introduction Using R, by Randall Pruim, published by American Mathematical Society, ISBN: 978-1-4694-2848-8
Class Attributes
Formal Studies Distro Area
Enrollment Requirements
Enrollment Requirements: Registration in this course is reserved for Data Science Majors only
Prerequisite: To enroll students must have completed STAT 320-1 or STAT 383-0 or MATH 310-1 or MATH 311-1 or MATH 314-0 or MATH 385-0 or ELEC_ENG 302-0 or IEMS 202-0