## Methods for Environmental and Naturalistic Data Analysis

Teachers:
Credits:
6
Site:
PARMA
Year of erogation:
2021/2022
Unit Coordinator:
Disciplinary Sector:
Ecology
Semester:
First semester
Year of study:
3
Language of instruction:

Italian

### 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.

### Prerequisites

Elementary mathematics: summation, product, matrices, determinants, 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).

### Course contents

1.Sampling and data: descriptive statistics
2.Probability theory
3.Random variables and their distributions
4. Probability theory
3. Random variables and their distributions: binomial, Poisson, normal.
5. Hypothesis testing
6. The chi-square test
7. Contingency tables and association between categorical variables
8. Statistica inference: the distrubutiuon of an estimate; the confidence interval
9. Inference in a population with normal distribution. Standardized normal distribution and Student's t distribution.
8. The Student's t test and the comparison of two samples
9. Comparing more than two samples: analysis of the variance one way, two ways, interaction
10. Correlation
11. Linear regression