THREE-DIMENSIONAL MODELING

Channel 1
GIANNI CARBONE Lecturers' profile

Program - Frequency - Exams

Course program
Aims and methods of statistical analysis; statistical characters and classification • Statistical sampling and main sampling techniques. • Data synthesis tools: Absolute, relative, cumulative frequencies; arrangement and organization of data in tables; frequency distributions. • Main graphic representations: orthograms, circular sector diagrams, histograms, frequency polygons, scatter diagrams. • Central trend indices: arithmetic mean and its properties, mode and median, tertiles, quartiles and percentiles. • Variability indices: range, deviance, variance, standard deviation and coefficient of variation. Box-plot. • Frequency distribution curves. Symmetry indices. • The Normal Distribution, the standardized normal distribution. • Elements of Probability. Definition of probability. Calculation of the probabilities of mutually exclusive, independent and conditional events • aspects of descriptive statistics, • elements of probability, • statistical inference, • statistical methods for qualitative and quantitative data, • multivariate analysis, • sensitivity, specificity, predictive value.
Prerequisites
the student deals with aspects of descriptive statistics, elements of probability, statistical inference, statistical methods for qualitative and quantitative data, multivariate analysis, sensitivity, specificity, predictive value.
Books
materials of the teacher
Teaching mode
students will be able to take a written or oral exam on the topics discussed in the classroom.
Frequency
written / oral exam approval 18/30
Exam mode
materials of the teacher
Bibliography
indicated during the lessons
Lesson mode
students will be able to take a written or oral exam on the topics discussed in the classroom.
  • Academic year2025/2026
  • CoursePhysiotherapy REPLICA D - ROMA AZIENDA S.CAMILLO FORLANINI
  • CurriculumSingle curriculum
  • Year3rd year
  • Semester2nd semester
  • SSDMED/01
  • CFU2