ITA | ENG
B018760 - PROBABILITY THEORY AND STATISTICS
Main information
Teaching Language
Course Content
Suggested readings
Learning Objectives
Prerequisites
Teaching Methods
Further information
Type of Assessment
Course program
Academic Year 2013-14
Course year
Second year - First Semester
Belonging Department
Statistics, IT and its applications "G. Parenti" (DISIA)
Course Type
Single education field course
Scientific Area
SECS-S/01 - STATISTICS
Credits
6
Teaching Hours
48
Teaching Term
23/09/2013 ⇒ 20/12/2013
Attendance required
No
Type of Evaluation
Final Grade
Course Content
show
Course program
show
Lectureship
Teaching Language
Italian
Course Content
Probability spaces. Combinatorics. Random variables. Descriptive Statistics and Inference. Parametric hypothesis testing. Linear regression. ANOVA
Suggested readings (Search our library's catalogue)
S. Iacus (2010) Statistica, Seconda Edizione, McGraw-Hill
and Class notes.
and Class notes.
Learning Objectives
Knowledge: Introductory-level concepts of probability and statistics. Acquired expertise: Students will acquire the ability to organize and analyze a real data set, by an adequate probabilistic model. Moreover, they will be able to critically understand features and limits of models and methods, illustrated during the course.
Prerequisites
Courses required: Analysis I: Integral and Differential Calculus
Teaching Methods
Lectures
Further information
.
Type of Assessment
Oral and written examination
Course program
Descriptive statistics: frequency distributions, measures of location and variability. Statistical graphs. Introduction to probability. Conditional probability and independence. Bayes' formula. Discrete and continuous random variables. Introduction to statistical inference: point estimation, hypothesis tests and confidence intervals. Association and independence. Simple and multiple linear regression model. Analysis of variance. Introduction to logistic regression. Introduction to software R.