STATISTICS AND INFORMATICS APPLIED TO BIOTECHNOLOGY - STATISTICS
cod. 1008577

Academic year 2019/20
2° year of course - First semester
Professor
Antonio BODINI
Academic discipline
Ecologia (BIO/07)
Field
Discipline biotecnologiche con finalità specifiche: biologiche e industriali
Type of training activity
Characterising
40 hours
of face-to-face activities
5 credits
hub: PARMA
course unit
in

Learning objectives

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

Elemantary mathematics: matrices, limits, derivatives.

Course unit content

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).

Full programme

1.Sampling and data: descriptive statistics
2.Probability theory
3.Random variables and their distributions
4. Sampling
5. Estimation problems: Z and t distributions, and differences between two means
6. Hypothesis testing
7. One-way and two-way ANOVA
8. Regression

Bibliography

T.H. Wonnacott, R.J. Wonnacott
Introductory Statistics
Franco Angeli

Teaching methods

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.

Other information

- - -

2030 agenda goals for sustainable development

- - -