Section Info: STAT-340-01

Course Title: Applied Regression Methods
Start Date: 08/24/2020 End Date: 10/15/2020
Term: Fall Semester 2020
Description: This course includes methods for choosing, fitting, evaluating, and comparing statistical models; introduces statistical inference; and analyzes data sets taken from research projects in the natural, physical, and social sciences.
Distribution(s): II - Math & Sciences
Academic Level Of Course: Undergraduate     Credits:4.00    

Faculty         Phone         Email address        
Marie Ozanne             mozanne@mtholyoke.edu  

Meeting Dates         Method         Meeting days         Meeting times         Building name         Room     Frequency    
08/24/2020 - 10/15/2020   Flex. Immersive Lecture   Monday   09:45AM - 11:00AM   TBA   TBA   Weekly
08/24/2020 - 10/15/2020   Flex. Immersive Lecture   Tuesday and Thursday   09:30AM - 11:15AM       Weekly
08/24/2020 - 10/15/2020   Flex. Immersive Lecture   Wednesday and Friday   10:15AM - 11:15AM       Weekly

REGISTRATION DETAILS

Requisite Courses        
Prereq: MATH-211 and STAT-242. Take previously   Required  

Comments        
Additional Comments        
Course Tags        
NXDTA0001   NXDTA: Nexus in Data Analytics and Society   This course is approved for the Data Analytics  
EOS-5   EOS-5: Data and Technical Analysis   This course has been approved to count towards the EOS minor in Area 5: Data and Technical Analysis  
DATA0001   DATA-SCI: Data Science Core Course   This is a required core course of the Data Science major.  
MOD0001   MOD-1: Courses meeting in Module 1   This course meets in Module 1.  

Cross-listed Sections        
None  

Course Availability
Section status: Open     Capacity: 18     Enrollment: 14     Available: 4     Waitlist: 0

BOOK INFORMATION

Book List         Required         Publisher Full Price        
Title: Applied Regression Analysis & Generalized Linear Models
Author: Fox, John
Copyright: 2016
Edition: 3
Volume:
ISBN:
Publisher: Sage
Required   106.00  

Additional Book Comments        
This is the complete book list for this class.