Statistics for Biologists I, Fall Semester
1997
Cross-listed with CSS/ANS
| Course: | STT464 - Statistics for Biologists I - Section 1
|
| Instructor | Dr. O. Schabenberger |
| Address | Department of Crop and Soil
Sciences
|
| Office hours | Tuesday, Thursday 1:00-3:00 pm or by appointment |
| Location | A149 Plant and Soil Sciences Bldg |
| Time | Monday, Wednesday, Friday 1:50-2:40 pm |
| Credits | 3 |
| Prerequisite | STT 421, Statistics I |
| Materials |
|
| Grading | Three in-class midterm examinations @ 15% each. Final examination (comprehensive): 30% Scheduled: 12/8/97, 12:45-2:45 Homework assignments: 25% |
Description in Course Catalog: Biological random variables. Estimation of population parameters. Testing hypotheses. Linear correlation and regression (prediction). Analyses of counted and measured data to compare several biological groups (contingency tables and analysis of variance).
Objective: To provide students with an understanding of fundamental statistical techniques and analyses relevant to researchers in the biological sciences and to enable students to apply these techniques to research problems.
Special Assistance, Medical Emergencies: If you need course adaptation or accommodations because of disability, medical emergencies, or if special arrangements are necessary in case of a building evacuation, notify the instructor. No penalties are incurred for late homework or missed examinations because of a medical condition or other reason over which the student has no control. Please notify the instructor should such a situation arise to make appropriate arrangements.
Religious Holidays: If the scheduling of homework assignments or examinations interferes with the observance of religious holidays, please inform the instructor. It is the student's responsibility to make arrangements in advance.
| Topic | Appr. No of Lectures | |
| 1 | Biological Random Variables Statistics, Studying Variability |
2 |
| 2 | Working with Random Variables Characterizing sample distributions, Exploratory Data Analysis, Expectations |
5 |
| 3 | Theoretical Distributions Discrete and continuous distributions of importance |
3 |
| 4 | Random Sampling Distribution of mean and variance, Sampling from a Gaussian |
2 |
| 5 |
|
3 |
| 6 | Hypothesis Testing Theory of statistical tests, Test power, Error rates, One-Sample tests, Two-Sample tests, Tests with weak assumptions |
6 |
| 7 |
|
8 |
| 8 | Introduction to Linear Regression Statistical models, Simple linear regression model, Least squares, Inference about slope and intercept, Prediction intervals, Correlation |
8 |
| 9 | Categorical Data Analysis Contingency tables, Goodness-of-Fit, Tests of independence and homogeneity, Chi-square tests |
3 |