Unit STATISTICS
- Course
- Exercise and sport science
- Study-unit Code
- A001890
- Curriculum
- In all curricula
- Teacher
- Donatella Lanari
- Teachers
-
- Donatella Lanari
- Hours
- 32 ore - Donatella Lanari
- CFU
- 4
- Course Regulation
- Coorte 2021
- Offered
- 2022/23
- Learning activities
- Base
- Area
- Giuridico, economico e statistico
- Academic discipline
- SECS-S/01
- Type of study-unit
- Obbligatorio (Required)
- Type of learning activities
- Attività formativa monodisciplinare
- Language of instruction
- Italian
- Contents
- Analysis of statistical phenomena. Descriptive statistics of a distribution: graphics, measures of central tendency, measures of variability. Analysis of the association between two characters. The linear regression.
- Reference texts
- Simone Borra Agostino Di Ciaccio "Statistica. Metodologie per le scienze economiche e sociali" IV edizione, McGraw-Hill Education
- Educational objectives
- The course allows students to acquire the basics of statistics useful both to set up a search and to interpret the results. Data analytics application will enhance the process of learning of the student.
- Prerequisites
- Not required.
- Teaching methods
- Lectures and exercises on the methodological part.
- Learning verification modality
- Written assessment. The test consists of True/false questions (8), multiple choice questions (7) and 3 short exercises to be solved. The test lasts 45 minutes.
- Extended program
- Definition of statistics. The sources of data on sport: Istat, Eurostat, CONI. Surveys on Sport in Italy. Analysis of statistical phenomena: characters, methods, statistical units and collective phenomena. Classifications of the variables: continuous, discontinuous, dscrete, nominal variables. Populations and samples. Probabilistic and non- probabilistic sampling methods. Phases of the survey, experimental design and the questionnaire.
Frequency distributions: simple and double-entry tables. Grouped and ungrouped frequency distribution, cumulative frequency distribution, relative frequency distribution, and relative cumulative frequency distribution. Graphical representation of data: line chart, dot charts, histogram. Measures of central tendency: mean, median, mode. Variance, standard deviation, coefficient of variation, box plot, concentration, Lorenz curve. Skewness and Asymmetry. Correlation and regression.