Unit STATISTICS

Course
Mobility and sports science
Study-unit Code
GP003850
Curriculum
In all curricula
Teacher
Donatella Lanari
Teachers
  • Donatella Lanari
Hours
  • 32 ore - Donatella Lanari
CFU
4
Course Regulation
Coorte 2018
Offered
2019/20
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 Language.
Contents
Detection of a statistical phenomenon. Distribution of a character and its representation. Summary of a character distribution. Analysis of the combination of two characters. Test theory notes Simple 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. Application cutting allows the student to become familiar with data analysis
Prerequisites
Not required
Teaching methods
Lectures and practical training
Learning verification modality
Written test with binary choice items (8), multiple choice questions (7) exercices (3). Exam lasts 45 minutes.
Extended program
Definition of statistics. Population and sample. Phases of a statistical survey, sampling and sampling methods. Questionnaire and experimental protocol. Qualitative and quantitative variables. Descriptive statistics: Simple and cumulative, absolute and relative frequency distributions. Double distributions, conditional frequencies. Tabular representations. analytical averages (arithmetic mean) and average position (mode, median, quartiles and percentiles). Measures of variability and variability indices (simple, average absolute deviation, and quadratic; average differences; field or range of variation, variance and deviance) ..
Analysis of the combination of two characters (dependency and independence). Outline the theory of Test: null hypothesis, alternative hypothesis, acceptance and rejection area, level of significance. Simple linear regression: parameter estimation, interpretation of results, residue analysis
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