Statistical elaboration of data from physical activities and sports.
The teaching of Statistics, included in this integrated teaching, aims to provide the necessary knowledge to analyze methods for functional evaluation of athletes, with grip to applied profession.
Knowing the techniques and the methods to perform data collection, organization, preparation and representation (descriptive statistics), as well as hints of probability theory and statistical inference in order to evaluate physical exercise and its effects on samples and population.
Frontal lessons.
The variability of biological data. Concept of measurement and type of statistical variables. Unit of measure and order of magnitude. Rounding numbers and scientific notation. Errors of measurement. Data transformation. Absolute and relative frequencies, percentage, percentage changes. Collection, organization and graphical representation of data. Central tendency (averages and quantiles). Statistical dispersion (variation range, variance, standard deviation, standard error, coefficient of variation). Probability of events, probability distributions: normal curve. Population, sampling and statistical inference: theory and types of sampling, confidence intervals of mean and percentages.
Lantieri, Risso, Ravera - STATISTICA MEDICA PER LE PROFESSIONI SANITARIE, McGraw-Hill (2004)
or
Lantieri, Risso, Ravera - ELEMENTI DI STATISTICA MEDICA, McGraw-Hill (2007).
Ricevimento: Tuesday 14:00 to 15:00 Friday 11:00 to 12:00 Statistics Unit, , DISSAL Via Pastore 1, 16132, Genova
MARCO BOVE (President)
FRANCESCA LANTIERI (President)
EMANUELA PIERANTOZZI (President)
PIERO RUGGERI (President)
LAURA STRASSERA (President and Coordinator of Integrated Course)
I semester, October
STATISTICS
Written test with approximately 5-6 exercises and theory questions to be completed in 1 hour.
Exercises and questions to be solved or at least layed out, regarding the basic elements of the subject reported in the program and with variable scores depending on the complexity of the question. It is necessary to achieve a score equal to at least half of the maximum expected.
The exam takes place in attendance.
In case of certification of specific learning disability, disability or other special educational needs, please contact both the Department contact person, Prof. Nicola Girtler, and the lecturer to agree on exam methods which, in compliance of the teaching objectives, take into account individual learning methods and provide suitable compensatory/dispensatory tools recognized by the University SLD Student Service.