Weijuan Z Cullen

Submitted by admin on
Primary Title:  
Accountant
Institution:  
UMASS Amherst
Department:  
Elaine Marieb College of Nursing
Email Address:  
wcullen@umass.edu
Telephone:  
413-545-9322
Office Building:  
Skinner Hall

Kimberly Colon

Submitted by admin on
Primary Title:  
Ast Dean Studnt/Studnt Conduct
Institution:  
UMASS Amherst
Department:  
Dean of Students Office
Email Address:  
kim.colon@umass.edu

Michelle Hart

Submitted by admin on
Primary Title:  
Director Project Management
Institution:  
UMASS Amherst
Department:  
Information Technology
Email Address:  
michellehart@umass.edu

Yihan Lee

Submitted by admin on
Primary Title:  
Brand and Marketing Coord
Institution:  
UMASS Amherst
Department:  
Auxiliary Enterprises
Email Address:  
yihanlee@umass.edu

Van TB Le

Submitted by admin on
Primary Title:  
Clerk
Institution:  
UMASS Amherst
Department:  
UCard Office
Email Address:  
vtle@umass.edu
Office Building:  
Whitmore Admin Building

Arianna Elizabeth Anamisis

Submitted by admin on
Primary Title:  
Clerk
Institution:  
UMASS Amherst
Department:  
Conference Services
Email Address:  
aanamisis@umass.edu

Nora An

Submitted by admin on
Primary Title:  
Conf Coord/Registrar
Institution:  
UMASS Amherst
Department:  
Conference Services
Email Address:  
nan@umass.edu

Carmela Alvarado

Submitted by admin on
Primary Title:  
Maintainer
Institution:  
UMASS Amherst
Department:  
Commonwealth Honors College
Email Address:  
carmelaalvar@umass.edu

Janelle Aieta

Submitted by admin on
Primary Title:  
Clerk
Institution:  
UMASS Amherst
Department:  
Astronomy
Email Address:  
jaieta@umass.edu
Telephone:  
413-545-7169
Office Building:  
Lederle Grad Research Tower

Intro/Stat with Impact Mindset

This course introduces students to advanced statistical methods in the context of applications with high social impact. It helps students learn about the technical aspects of these methods, as well as the critical statistical thinking skills necessary to relate methods to applied contexts. It also includes horizontally- and vertically-integrated components to support communication skills across disciplines and experience levels. In this course, advanced statistical methods are methods that follow or build on multiple linear regression.
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