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Single discipline educational activity
Course Sheet Academic Year of enrolment:
Professor and Collaborators:
Hours of classroom activity:
Prerequisites:
Knowledge of Basic Statistics is required
Objectives
Contents Introduction to probability and statistical inference; Statistical quality control and control charts; Index numbers.
Extended Syllabus 1. Introduction to probability and statistical inference: discrete and continuous random variables, mean values, variability, estimator theory, interval estimation
2. Statistical Quality Control: statistical process control, control charts for variables and attributes, CUSUM charts, V and EWMA charts
3. Index numbers: fixed base index, mobile base index, composite indexes, and practical examples.
Recommended Bibliography - Course slides
- MONTGOMERY D.C. (2006). Statistical quality control, 2a ed. McGraw Hill (ch.1; ch. 2 pg. 39-65, 76-80; ch. 3 pg. 81-108; ch 4; ch. 5; ch. 6; ch. 8 pg. 329-354).
Methods of Provision
Teaching Methods Lectures, exercises and practice examples
Evaluation methods Verification of learning:
a) Knowledge and understanding: the verification of the learning outcomes will be carried out through a written exam. This will cover the whole program of the course, both in its theoretical and practical aspects. The oral examination can be requested by the teacher and/or by the student.
b) Applying knowledge and understanding: The exam will verify the student's ability to solve and deal with the analysis of real data.
Contacts/More Information Email: postigli@unich.it
For furteher details and for downloading the slides: fad.unich.it, page of Statistica per l'Impresa - CLEA.
In the first semester the Professor receives students only by appointment (postigli@unich.it ).
In the second semester, the office hours for students is scheduled for Friday from 11:00 to 13:00, Viale della Pineta, 4- second floor