(whale shark - www.cancuncd.com)
Ten Lectures on Ecological Statistics
Marine Biological Laboratory
9:00-9:50 am M-F August 2-6, & 9:10-10:00 am M-F August 9-13, 2010
Dates & Locations:
Monday, August 2: Loeb G70
Tuesday, August 3: Loeb G70
Wednesday, August 4: Loeb G70
Thursday, August 5: Loeb G70
Friday, August 6: Speck Auditorium
Monday, August 9: MRC 210
Tuesday, August 10: MRC 210
Wednesday, August 11: MRC 210
Thursday, August 12: MRC 210
Friday, August 13: MRC 210
This series of talks will provide a self-contained introduction to statistics for
biologists and ecologists, from basic concepts to current research. The course will
enable the listener to understand statistical discourse in the applied research literature,
to communicate with statistical consultants, and to carry out analyses with guidance from
consultants or specialized software. PowerPoint files will be available.
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Week1
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Fundamentals. Population and sample. Quantitative & qualitative variables.
Probabilistic modeling of sampling processes. Parameters and statistics; statistical inference; parametric
and nonparametric approaches. Estimation: estimates, standard errors,andconfidenceintervals.
Hypothesis testing: type I & II error; power of tests. Simultaneous (multiple) inference and
the Bonferroni correction.
- Basic data analysis. Inference for a single variable. Relationship of two variables:
qualitative-qualitative (contingency tables); quantitative-quantitative (regression); quantitative-qualitative
(logistic regression & data mining); qualitative-quantitative (ANOVA and linear models).
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Week2
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Selected statistical methods in biological and ecological modeling.
Analysis of biodiversity: estimating species richness and other diversity indices, using parametric
and nonparametric techniques. Comparison of populations: Jaccard index and other measures. Variation of
population characteristics as a function of biogeochemical predictors. More complex modeling of diversity
vs. predictor variables: canonical correspondence analysis and alternative procedures.
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