- Docente: Laura Anderlucci
- Credits: 10
- SSD: SECS-S/01
- Language: English
- Moduli: Laura Anderlucci (Modulo 1) Marco Novelli (Modulo 2) Marco Novelli (Modulo 3)
- Teaching Mode: Traditional lectures (Modulo 1) Traditional lectures (Modulo 2) Traditional lectures (Modulo 3)
- Campus: Bologna
- Corso: First cycle degree programme (L) in Economics, Politics and Social Sciences (cod. 5819)
Learning outcomes
By the end of the course students have acquired knowledge of the main statistical techniques for exploratory data analysis and the fundamental concepts of probability and inference from random samples. Moreover, they have developed skills to formalize and to solve the basic statistics problems using R.
Course contents
Descriptive Statistics
Basic concepts. Frequency distributions. Describing data by graphs. Descriptive summary statistics: central tendency and variability measures. Association in contingency tables. Simple linear regression and correlation.
Probability
Basic concepts and Bayes theorem. Random variables. Central Limit theorem.
Statistical Inference
Random samples and sampling distribution of statistics. Point and interval estimation. Hypothesis testing.
Programming (with R)
Introduction to R: downloading and installing R (RStudio), R language essentials, data entry. Univariate and bivariate descriptive statistics. Probability distributions. Point estimation, confidence intervals and hypotheses testing.
During the course, datasets and examples of applications to economics and social sciences will be illustrated.
Readings/Bibliography
Statistics textbook:
G. Cicchitelli, P. D'Urso, M. Minozzo (2021) "Statistics - Principles and Methods", first edition. Pearson Italia, Milano-Torino.
Programming textbook:
P. Dalgaard (2008) "Introductory statistics with R", second edition. Springer, New York, NY.
Teaching methods
Lectures and lab sessions.
Assessment methods
The learning assessment is composed by a written test lasting 100 minutes. The written test is aimed at assessing the student's ability to use the learned definitions, concepts and properties and in solving exercises. During the written exam, students can use the formula sheet that is provided on virtuale.unibo.it and a pocket calculator only. Students cannot make use of the textbook, personal notes and mobile phones (smart watch or similar electronic data storage or communication device are not allowed either).
The written test consists of 20-25 questions, both multiple choice and open, with a final grade out of thirty.
Students that, despite having passed the exam, do not feel represented by the obtained result can ask to have an additional (optional) oral exam that can change the grade by +/-3 points.
Teaching tools
Slides available on virtuale.unibo.it
Tutorials.
Office hours
See the website of Laura Anderlucci
See the website of Marco Novelli
See the website of Marco Novelli