# Stat/For/Hort 571: Statistical Methods for Bioscience I

This material was current for Fall 2003.

## Course Syllabus

The goal is to provide
research-oriented students in the agricultural, biological, and
environmental sciences with a thorough grounding in modern
statistical methods. An understanding of the procedures will be
stressed along with applications. Mathematical complexities will be
kept to a minimum and the analysis of real data will receive
considerable attention. The development of the ability to interpret
results and to evaluate critically the methods used is of paramount
importance.
Course Notes for Statistics/Forestry/Horticulture 571 by
EV Nordheim and MK Clayton (1997), available at Bob's Copy Shop (across from
Union South). There are several Errata,
mostly minor. Please correct your Course Notes accordingly.
The original Course Notes used the Minitab package, but R is now much
more widely available, and it is free. See R Software Introduction for Stat 571.

[For
lighter reading, consider The
Cartoon Guide to Statistics by Larry Gonick & Woollcott
Smith (1994).]

Attendance is strongly advised.
Discussion sections are held for the purposes of: working through
practice problems, answering general questions, and returning and
discussing graded assignments. Sections will begin meeting the
week of September 8.
There will be weekly homework assignments
which will be collected in lecture and returned in discussion
section. The importance of the homework assignments cannot be
overemphasized. Much of your learning will take place while working
the homework problems. Homework assignments should be well
organized and reasonably neat. It is required that you show your
work in order to receive credit. Homework assignments are due on
Friday, in your TA's mailbox, by 4:00 pm. Late homework assignments
will be penalized unless extenuating circumstances exist. If
possible, prior arrangements should be made in such cases.
Homework Assignments to Date

Course Data

There will be two midterm exams and a final exam.
The exams will cover lecture materials, readings, and homework
material. Exams will be open-book and open-notes. (You will have
prior access to exams from previous years.) The midterms
will take place on October 7 (Tuesday) and November 18 (Tuesday),
during the regularly
scheduled class time. The final exam will take place on
December 19 (Friday) at 10:05am.
Collection of Old Exams

Each midterm will count 20% of the course grade;
the homework will count 20% and the final will count 40%.
Homework assignments, after the first two, require use of the R
statistical computing package (see handout below). Reports on
computing work should clearly show what you did and how. Be
concise; condense computing session to highlight findings. Organize
your analysis and interpret your results as instructed in the
assignments. See R Software Introduction for Stat 571.

Maintained by Brian Yandell (`byandell@wisc.edu`) tue 11 nov 2003.