THREE-DIMENSIONAL MODELING
Channel 1
ANDREA VERRILLO
Lecturers' profile
Program - Frequency - Exams
Course program
POPULATION, SAMPLING AND MEASUREMENT
Population and sample
Types of sampling
Data and variables
Frequency distributions
Contingency tables
GRAPHIC REPRESENTATIONS AND DATA ANALYSIS
Data presentation: graphs
Central trend indices
Variability measures
PROBABILITY AND RANDOM VARIABLES
Basic notions of probability calculation
Random variables and probability curves
Normal and normal standardized distribution
Elements of statistical inference
Confidence intervals
MEANING TESTS
General notions on significance tests
Parametric and nonparametric tests (tests for both dependent and non-dependent samples
employees (paired data)
Chi-square test
CORRELATION MEASURES
The concept of correlation
The correlation coefficient for Spearman ranks
Prerequisites
There are no particular prerequisites for the easy use of the course topics
Books
For the achievement of maximum profit in relation to the course topics, it is sufficient to study the material provided by the teacher consisting of the presentations used in the lectures, in-depth documents and practical exercises to be carried out independently and representative of the topics discussed.
Teaching mode
Traditional frontal teaching at the premises identified by the University unless otherwise communicated by the University
The course lasts 24 hours divided into three 4-hour lessons. During the lessons, the presentation of the expected topics is expected, accompanied by frequent interactions with students and practical exercises.
The structure of the teaching program is as follows: Lessons 1 - Introduction to Statistics; Lesson 2 - Population, Sampling And Measurement; Lesson 3 - Graphical Representations And Data Analysis; lesson 4 - Probability and Random Variables; Lesson 5 - The Significance Tests; Lesson 6 - Correlation Measurements
Exam mode
The written test will take place in a frontal way and includes open-ended and multiple-answer questions on course topics. Optionally and for special cases, the written test could be supplemented by an interview.
The objective of the test is to verify that the student has acquired the basic tools of Descriptive and Inferential Statistics and Probability Calculation with the ability to analyze the problem and choose the right tools for results as close as possible to reality.
The weight of the test is one third of the final evaluation of the Nursing exam based on the evidence of effectiveness.
Lesson mode
Traditional frontal teaching at the premises identified by the University unless otherwise communicated by the University
The course lasts 24 hours divided into three 4-hour lessons. During the lessons, the presentation of the expected topics is expected, accompanied by frequent interactions with students and practical exercises.
The structure of the teaching program is as follows: Lessons 1 - Introduction to Statistics; Lesson 2 - Population, Sampling And Measurement; Lesson 3 - Graphical Representations And Data Analysis; lesson 4 - Probability and Random Variables; Lesson 5 - The Significance Tests; Lesson 6 - Correlation Measurements
- Academic year2025/2026
- CourseNursing REPLICA R-ASL LATINA TERRACINA
- CurriculumSingle curriculum
- Year2nd year
- Semester2nd semester
- SSDMED/01
- CFU2