Statistics 240 - Elem Data Analysis/Exper Desgn

Spring
2018
01
4.00
Janice Gifford
TTH 11:30AM-12:45PM;F 03:15PM-04:05PM
Mount Holyoke College
102341
Clapp Laboratory 407;Clapp Laboratory 407
jgifford@mtholyoke.edu
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.
Prereq: Any 100-level mathematics or statistics course.
Permission is required for interchange registration during the add/drop period only.