Biometry (Zool 631)
Overview of the course
This is an introductory (though fast paced) course on data analysis,
with some coverage of how to design studies to obtain useful data.
The methods covered (like the textbook) are not specific to biology.
The examples used in lecture, as well as the assignments for many
of the discussions, do however use biological data, in almost all
cases from studies conducted by the instructor or other U.H. researchers.
This course covers only the most basic methods, dealing with at
most two variables (one response variable and one explanatory variable).
The sequel, Advanced Biometry (Zool 632)
covers most methods for analysis of one quantitative response variable
and any number and combination of explanatory variables. There are
a few courses on more advanced methods (e.g. categorical data analysis,
multivariate analysis) scattered in other departments at U.H., and
from time to time I teach topic courses on advanced methods specific
to biology (e.g. multivariate analysis in community ecology).
There are three lectures per week, one discussion, and (typically)
one homework set. Homework assignments are exercises from the textbook.
Discussion assignments are more open-ended, usually involving analysis
of real data; for most students these are the most valuable parts
of the course.
No prior knowledge of statistics is assumed, though the course
will be difficult to appreciate without some experience conducting
research, or at least reading the primary scientific literature.
David S. Moore, George P. McCabe & Bruce A. Craig. Introduction
to the Practice of Statistics. W.H. Freeman & Co. [The
current edition is the 8th;earlier editions can be used also.]