Course Agenda. First Day. 4 th February - Monday : Students Registration Polo Didattico Laterino

Transcription

1 Course Agenda First Day 4 th February - Monday : Students Registration Main Entrance Registration Desk Opening Works Teacher presentation Brief Students presentation Course Aims and Purposes 17:00 17:30 Coffe Break 17: Lecture 1 Introduction to Probability Definition of probability, probability distribution, Distribution function, Probability density, Gaussian Continuous distribution Sampling, Population and sample, Random sampling Basic characteristics. After Dinner: meeting in Piazza del Campo for a visit to Siena by night!

2 Second Day 5 th February - Tuesday : Lecture 2 Univariate Statistics Hypothesis testing, Goodness of fit, Contingency tables Type I and II Error Comparison of two means Parametric vs. Non-Parametric methods 11:00 13:00 Lecture 3 Univariate Statistics One sample/paired t-test, confidence interval t-test for independent samples Non-Parametric Mann-Whitney U test Wilcoxon matched pairs test 13: Lunch Time 15: Lab 1- Starting with Statistica Create, Save and Import data in Statistica Probability: an example of Χ 2 test 16: Coffe Break 17: Lab 2 Exercises Exercises on univariate methods

3 Third Day 6 th February - Wednesday : Lecture 4 Experimental Design - Completely Randomized - Randomized Complete blocks - Latin Square Design - Pseudoreplications - Hierarchical Design - Split-plot Design - Non-replicated and replicated BACI 11:00 13:00 Lecture 5 Analysis of Variance Fixed and Random Factors One way Anova Two way Anova Nested Anova Mixed Factors Anova Non parametric counterparts 13: Lunch Time Visit to our botanic garden (Dep. Of Environmental Science G. Sarfatti, Via P. A. Mattioli 4) 15: Lab 3 Experimental Design Examples and Exercises on Setting experimental designs and analysis of variance 16: Coffe Break 17: Lab 4 ANOVA Continue..

4 Fourth Day 7 th February - Thursday : Lecture 6 Regression Analysis Simple Linear regression Multiple Regression Predictors selection by stepwise procedures 11:00 13:00 Lecture 7 Other Regressive Methods General Linear Models/Analysis of Covariance (ANCOVA) Logistic regression Generalized Linear Models (GLM) 13: Lunch Time 15: Lab 5 Simple regression Exercises on simple and Multiple linear regression. Interpretation of coefficients and slopes of regression lines 16: Coffe Break 17: Lab 6 ANCOVA Examples and applications of ANCOVA analysis

5 Fifth Day 8 th February - Friday : Lecture 8 - A Primer of Multivariate Methods Classification and ordination, Gradient analysis PCA, RDA, CA, CCA 11:00 13:00 Lecture 9 Examples Using CANOCO Use of ordination methods for observational studies and for designed manipulative experiments 13:00 14:30 Lunch Time 14: Final Session Course Evaluation Delivery Certificate of Participation Final Greetings

6 Recommended reading: Basic textbooks: Zar J.H. (1998) Biostatistical analysis. 4 th ed. Prentice Hall. The previous editions are also fine; in my view, this one is the most biologist-friendly presentation of statistics. Socal R.R. & Rohlf F.J. (1994) Biometry. 3 rd ed. Freeman. The previous editions are also fine. Basic textbook. Very useful reading: Quin G.P. & Keough M.J. (2002) Experimental design and data analysis for biologists. Cambridge Univ. Press. Gotelli N.J. & Ellison A.N. (2004) A primer of ecological statistics. Sinauer. Scheiner S.M., Gurevitch J. (Editors) Design and analysis of ecological experiments. 2 nd ed., Oxford Univ. Press. Even rather complicated problems presented in a way acceptable by field biologists. For more advanced: Underwood A.J Experiments in Ecology. Cambridge Univ. Press. For multivariate methods: Lepš J. & Šmilauer P. (2003) Multivariate analysis of ecological data using CANOCO. Cambridge Univ. Press. The Ordination web page of Mike Palmer: