Biometry (BIEB 100), Fall 2001

Instructor: Trevor Price; Phone 534-5605; Muir Biology Building (MBB) 2202; tprice@ucsd.edu
TAs: Alexa Bontrager, abontrager@ucsd.edu; Boris Igic, bigic@ucsd.edu; Travis Ritchie, tritchie@ucsd.edu;

Lecture: MWF 12.20-1.10 pm Center Hall 113
Labs (in 1310 Undergraduate Sciences Building, aka York Hall):
W 1:30-3:30, 3:30-5:30; Th 8:30-10:30, 1:00-3:00; Fr 10-12, 1:30-3:30
Office hours: In Muir Biology Building Rm. 2105: Mon 4-5


Final Exam Information

The class final will be held the Warren Lecture Hall (WLH), Rm. 2005, on 12/03/01 at 11:30 am.

Practice Materials

A practice mid-term and final exam are available. Please click below to access practice exams. Practice reviews are also available. The reviews are not necessarily indicative of the material on the mid-term and are meant to be used solely as guides once you have read the book, done the homework problems and labs.

1999 Mid-term 1999 Mid-term solutions

2001 Mid-term solutions

1999 Final Exam and Solutions 1999 Lab Final 2001 Midterm Review

The text is Hampton: Introductory Biological Statistics. The course will follow this book in general outline. The best general book is Statistics. 3rd ed. by D. Freedman, R. Pisani and R. Purves. (1998). In addition we recommend Zar, J. H. Biostatistical Analysis. The book is quite large, and has much more in it than you will need for this course. It will serve as a useful reference book if you intend to use statistics later on. Finally, Biometry, by R.R. Sokal and F.J. Rohlf is more detailed than either of the other books, but does not include a very important part of the course - nonparametric statistics. Selected readings from Hampton are indicated in schedule on the next page. The lab manual is short and required. It is available from soft reserves, or for downloading from the biometry website.

See the computer lab page


Exams and Grading Structure

Mid-term: 25% Lab Final (In class): 20% Final: 55%; Both the Lab and Lecture Finals will cover material from both the labs and the lectures.

Calculators are allowed in the exam, but they should only be used in simple math mode. In fact, we will try and make computations on the exams as simple as possible. You should bring in one page of Hand-written formulae to the class exams. The Lab final is held during your section time, and is entirely open-book.


Homework will be handed out each week, and is available online. Homeworks will be on the material covered during previous lectures. They will not be graded. They are similar in style to the exam questions, BUT THE MATH WILL BE MUCH SIMPLER IN THE EXAM, as you will be able to see from old exams I will post on the website. Solutions to both the homework and lab exercises will be posted on the web.

Students wanting additional questions can find them at the end of the relevant chapter of any textbook listed above.



Class Schedule

 

Week

 

Lecture topic

 

Lab exercise

 

Hampton

 

21-Sep

 

Data description

 

chs. 1,2

 

24-Sep

 

Sampling

 

Data description

 

ch. 3

 

26-Sep

 

Estimation

 

28-Sep

 

Hypothesis testing

 

ch.9

 

1-Oct

 

chi-square goodness of fit

 

Frequency tables

 

ch.9

 

3-Oct

 

chi-square goodness of fit

 

ch.9

 

5-Oct

 

chi-square contingency tables

 

ch. 4

 

8-Oct

 

Binomial and poisson

 

Sampling from Binomial

 

ch. 4

 

10-Oct

 

Normal distribution

and Poisson

 

ch. 5

 

12-Oct

 

One sample inference

 

ch. 5

 

15-Oct

 

One sample inference

 

Sampling from Normal

 

ch. 6

 

17-Oct

 

Two sample tests

 

ch. 6

 

19-Oct

 

Two sample tests

 

ch. 6

 

22-Oct

 

Paired sample tests

 

One sample and paired tests

 

ch. 6

 

24-Oct

 

Power

 

26-Oct

 

Tests of significance

 

29-Oct

 

Midterm

 

Two sample tests

 

31-Oct

 

non-parametrics

 

ch. 7

 

2-Nov

 

Analysis of variance

 

ch. 7

 

5-Nov

 

Analysis of variance

 

ANOVA

 

ch. 7

 

7-Nov

 

Analysis of variance

 

ch. 7

 

9-Nov

 

Kruskal Wallis

 

ch. 7

 

12-Nov

 

Holiday

 

Regression

 

14-Nov

 

Regression

 

ch. 7

 

16-Nov

 

Regression

 

ch. 8

 

19-Nov

 

Multiple regression

 

Review: Lab open 2pm-6pm

 

ch. 8

 

21-Nov

 

Brain size

 

on 20th and 21st November

 

23-Nov

 

Thanksgiving

 

26-Nov

 

Linear correlation

 

ch. 8

 

28-Nov

 

Data transformation

 

Lab final exams

 

30-Nov

 

Review

 

during allotted section time

 

3-Dec

 

FINAL EXAM, 11.30-2.30

The class final will be held the Warren Lecture Hall (WLH), Rm. 2005, on 12/03/01 at 11:30 am.