Five College Consortium

Elem Data Analysis/Exper Desgn

Semester: 
Spring
Year: 
2018
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.
Instructor Permission: 
Permission is required for interchange registration during the add/drop period only.
Schedule #: 
102341

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 11:30AM-12:45PM;F 03:15PM-04:05PM Clapp Laboratory 407;Clapp Laboratory 407