THREE-DIMENSIONAL MODELING
Channel 1
Danilo Zuliani
Lecturers' profile
Program - Frequency - Exams
Course program
INTRODUCTION TO STATISTICS
o Descriptive Statistics and Inferential Statistics
o Types of variables
· ORGANIZING INFORMATION
o Measurement Scales: Nominal, Ordinal, Interval, Ratio
o Graphical Representation: Which graph for which purpose?
§ Bar, pie, histogram, box-plot, scatter plot
· SUMMARY INDICES AND DISTRIBUTION ANALYSIS
o Measures of Central Tendency: Mean, Median, Mode
o Percentiles and Quartiles
o Range, Standard Deviation, Variance
o Introduction to the Normal Distribution
· FUNDAMENTALS OF INFERENTIAL STATISTICS
o PROBABILITY
§ Basic Probability Concepts
§ Probability Distributions:
§ Normal: Bell curves
§ Binomial: Success/failure rates
§ Student's t and Z
o SAMPLING
§ Why Sample: From theory to practice
§ Sampling Methods: Simple random, systematic, stratified
§ Sample Size
o ESTIMATION
§ Confidence Intervals for a Mean:
§ Confidence Intervals for a Proportion:
· HYPOTHESIS TESTING
o Null Hypothesis (H0) and Alternative Hypothesis (H1)
o p-value explained simply
· INTRODUCTION TO STATISTICAL TESTS
o ERRORS
o Type I Error (false positive)
o Type II Error (false negative)
· TESTS
o One-tailed and Two-tailed tests
o PARAMETRIC
§ T-test
o NON-PARAMETRIC
§ Chi-square
· RELATIONSHIP BETWEEN VARIABLES
o Correlation: Measuring associations
o Simple Linear Regression
- Academic year2025/2026
- CourseNursing REPLICA ASL ROMA 3 - OSTIA
- CurriculumSingle curriculum
- Year3rd year
- Semester1st semester
- SSDMED/01
- CFU1