Elem Data Analysis/Exper Desgn

Semester: 
Spring
Year: 
2013
Subject Name: 

Statistics

Course Number: 
240
Institution: 
Mount Holyoke College
A fundamental fact of science is that repeated measurements exhibit variability. The course presents ways to design experiments that will reveal systematic patterns while 'controlling' the effects of variability and methods for the statistical analysis of data from well-designed experiments. Topics include completely randomized, randomized complete block, Latin Square and factorial designs, and their analysis of variance. The course emphasizes applications, with examples drawn principally from biology, psychology, and medicine.
Comments: 

Prereq: Any 100 level Mathematics or Statistics course or permission of instructor

Linked Course: 
N
Instructor Permission Required: 
N
Schedule #: 
83501

Course Sections

Elem Data Analysis/Exper Desgn
Sect # Credits Instructor(s) Instructor Email Meeting Times Location
01 4.0

Janice Gifford

jgifford@mtholyoke.edu

TTH 02:40PM-03:55PM;F 02:15PM-03:05PM

Clapp Laboratory 407;Clapp Laboratory 407