Statistics

Course objectives

The course aims at providing the basic theory and the essential tools of statistical analysis. Specifically: 1) Knowledge and understanding: upon completion of the course the students will have acquired the knowledge of the key tools of the statistic, from the descriptive methodologies to the basic inferential techniques, specifically: Introductory aspects. Statistical distributions and graphical displays. Summaries of a distribution: means, variability, and other aspects. Bivariate distributions: association, regression, correlation; probability theory; basic concepts; random variables and probability distributions; sampling and sampling distributions; inference. 2) ability to apply knowledge and understanding: upon completion of the course the students will be able to perform a statistical analysis in the field of political sciences, choosing the most approriate tools such as tabular and graphical summaries, statistical indexes, inferential procedures. 3) making judgements: upon completion of the course the students will be able to interpret the results obtained, making a critical evaluation using statistical evidence and sound reasoning. The development of this particular competence stems from the presentation of the applications and the classroom discussions stimulated by the teacher stemming from the examples analysed; 4) Communication skills: upon completion of the course the students will be able to use scientific language adequately to communicate the statistical methodologies employed and the results obtained. This skill will be stimulated by practical sessions and supplementary materials, including traces of exercises. 5) Learning skills: self-learning of new notions and more advanced techniques , using additional materials and bibliography.

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PIERPAOLO D'URSO Lecturers' profile

Program - Frequency - Exams

Course program
1 Introduction to statistics 2 Statistical distributions 3 Graphical displays 4 Means 5 Variability 6 Shape 7 An overview of statistical summaries 8 Indexes 9 Bivariate distributions: dependency 10 Bivariate distributions: regression 11 Bivariate distributions: correlation 12 Probability 13 Random variables 14 Some probability distributions 15 Population, sample, sampling distributions 16 Point estimation 17 Interval estimation
Prerequisites
No prerequisites
Books
G. Cicchitelli, P. D'Urso, M. Minozzo - Statistica: principi e metodi. Quarta edizione (2022), Pearson.
Frequency
Attendance is not mandatory, but strongly recommended
Exam mode
Written exam, consisting of 10 multiple choice tests, with both theoretical and practical questions. The test is intended to assess knowledge and understanding and the student's ability to apply knowledge and understanding. The student must indicate the correct answer and return the calculations necessary to obtain the indicated result. For completing the test, the students will have 90 minutes and can use a calculator. In itinere evaluation will be performed, based on a test with the same structure and rules.
Lesson mode
Lectures and practical sessions. The textbook comes with an online platform providing tutoring for the exercises and self-assessment tools. This will facilitate students in preparation for the exam.
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  • Lesson code1010575
  • Academic year2024/2025
  • CoursePolitical science and international relations
  • CurriculumSingle curriculum
  • Year1st year
  • Semester2nd semester
  • SSDSECS-S/01
  • CFU9
  • Subject areaformazione interdisciplinare