Bil 311, Biostatistics, and Bil 312, Biostatistics Laboratory

Bil 311: Monday, Wednesday, Friday, 9:05 - 9:55 a.m., Cox 213

Bil 312: Monday, 1:25 - 4:15 p.m., Cox 108

Instructors: Instructors: Steven Green (305-284-4272) and Thomas J. Herbert (305-284-6220) ()

Office Hours: Green, (Cox 269) and Herbert (Cox 162): Monday and Wednesday, 10:10 - 11:00 plus walk-ins and appointments outside those hours are acceptable.

Textbook: The Analysis of Biological Data by M. C. Whitlock and D. Schluter, Roberts and Company Publishers (2009).

Bil 311 grading: Class attendance is required. 80% of your grade will come from the highest 10 of 12 in-class tests, given at approximately one week intervals. These tests will be derived from questions in the textbook or similar questions. The remaining 20% of your grade will come from take-home assignments. There will be no final examination.


Bil 311 Lecture
Date		 Bil 311
Lecturer		 Bil 311
Lecture 		Bil 312 Lab.
Date		 Bil 312
Laboratory
26 August
28		 Green Statistics and samples (chapter 1)
31
2 September
4		 Green Displaying data (chapter 2) 31 August Introduction, goals, software
7 LABOR DAY HOLIDAY
9
11		 Herbert Statistics and samples (chapter 3); Estimating and Uncertainty (chapter 4)
14
16
18		 Herbert Probability (Sections 5.1-5.6) 14 September Graphics
21
23
25		 Green Hypothesis testing (Chapter 6) 21 September Sampling
28
30
2 October		 Green Analyzing proportions (sections 7.1-7.3); Fitting probability models to frequency data (sections 8.1-8.3) 28 September Describing data
5
7
9		 Green contingency analysis: associations between categorical variables (chapter 9) 5 October Probability
12
14		 Herbert The normal distribution (chapter 10) 12 October Frequency data
16 FALL RECESS
19
21
23		 Herbert Inference for a normal population (chapter 11) 19 October Contingency analysis
26
28
30		 Herbert Comparing two means - The t-test (sections 12.1-12.6) 26 October Normal distribution
2 November
4
6		 Green Handling violations of assumptions (sections 13.1-13.6) 2 November One-sample inference
9
11
13		 Green Designing experiments (chapter 14) 9 Novenber Comparing two groups
16
18
20		 Herbert Comparing means of more than two groups - ANOVA (sections 15.1-15.2) 16 November Nonparametric alternatives; Monte Carlo methods
23
25		 Green Correlation between numerical variables (sections 16.1-16.4) 23 November Comparing more than two groups
27 THANKSGIVING HOLIDAY
30
2 December
4		 Herbert Regression (sections 17.1-17.5) 30 November Correlation and regression