- 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)
-
from Feb 13, 2023 to May 24, 2023
-
from Apr 17, 2023 to May 23, 2023
-
from Mar 02, 2023 to May 10, 2023
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.
As concerns the teaching methods of this course unit, all students must attend Module 1, 2 [http://www.unibo.it/en/services-and-opportunities/health-and-assistance/health-and-safety/online-course-on-health-and-safety-in-study-and-internship-areas] on Health and Safety online.
Assessment methods
Assessment will take place through written exams (no oral exams). 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).
During the semester, students will have the opportunity to take the full exam in three different appelli through the academic year, or to split assessment by taking a midterm halfway through the course, and then a final during the regular appelli (the overall grade is the average of the two tests).
The midterm will cover topics of Descriptive Statistics. It will include multiple choice questions, exercises, and short essays.
The final will cover topics of Probability, Statistical Inference and Programming (with R). It will be a mix of multiple choice questions, exercises, and short essays.
The full exam will cover the whole course program.
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