Auditory Neuroscience

Anatomical, physiological, and neural basis of hearing at the levels of the outer, middle, and inner ear, the auditory nerve, and the central auditory system; clinical correlates of auditory neuroscience pertinent to the practice of audiology.

Intro Ideas/Applic Statistics

This course provides an overview of statistical methods, their conceptual underpinnings, and their use in various settings taken from current news, as well as from the physical, biological, and social sciences. Topics will include exploring distributions and relationships, planning for data production, sampling distributions, basic ideas of inference (confidence intervals and hypothesis tests), inference for distributions, and inference for relationships, including chi-square methods for two-way tables and regression.

Intro Ideas/Applic Statistics

This course provides an overview of statistical methods, their conceptual underpinnings, and their use in various settings taken from current news, as well as from the physical, biological, and social sciences. Topics will include exploring distributions and relationships, planning for data production, sampling distributions, basic ideas of inference (confidence intervals and hypothesis tests), inference for distributions, and inference for relationships, including chi-square methods for two-way tables and regression.

Intro Ideas/Applic Statistics

This course provides an overview of statistical methods, their conceptual underpinnings, and their use in various settings taken from current news, as well as from the physical, biological, and social sciences. Topics will include exploring distributions and relationships, planning for data production, sampling distributions, basic ideas of inference (confidence intervals and hypothesis tests), inference for distributions, and inference for relationships, including chi-square methods for two-way tables and regression.

Jim E Lagrant

Submitted by Anonymous (not verified) on
Primary Title:  
Senior Lecturer II
Institution:  
UMASS Amherst
Department:  
Mechanical & Industrial Engineering
Email Address:  
jlagrant@umass.edu
Telephone:  
413-545-0688
Office Building:  
Engineering Laboratory

Marzena Burnham

Submitted by Anonymous (not verified) on
Primary Title:  
Assist Dir University Events
Institution:  
UMASS Amherst
Department:  
Community Relations & University Events
Email Address:  
m.burnham@umass.edu
Telephone:  
413-577-1101
Office Building:  
Munson Hall
Subscribe to