THREE-DIMENSIONAL MODELING

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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