Methods for Environmental and Naturalistic Data Analysis
Learning outcomes of the course unit
Main objective of this introductory course to data analysis is to let the student becoming familiar with the discipline, its logic and its tools. In particular the student should develop the skill to select data that are most appropriate to solve a question and by which tools such data can be appropriately analyzed.
Elemantary mathematics: matrices, limits, derivatives.
Course contents summary
Main contents of the course are probability theory and related distributions (normal, binomial);experimental data and their treatment (tables, chartsm, hystograms) and the most important elementary statistical tests (Z, T, ANOVA, Regression, Correlation).
1.Sampling and data: descriptive statistics
3.Random variables and their distributions
5. Estimation problems: Z and t distributions, and differences between two means
6. Hypothesis testing
7. One-way and two-way ANOVA
T.H. Wonnacott, R.J. Wonnacott
Concepts are explained in classroom-taught lessons and exercises are assigned to the students to make the concept they have learned theoretically operational.
Assessment methods and criteria
Written examination with questions concerning the concepts illustrated in the classroom and exercises.