Error message
User error : Failed to connect to memcache server: druportbe01:11211 in dmemcache_object() (line 415 of /production/drupal/dim_prod/drupal/d7cl4/prod/unich/releases/7/web/sites/all/modules/contrib/memcache/dmemcache.inc ).
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 Probability and statistical inference; Software R; Control quality and control charts; Statistical control quality with the software R; Index numbers.
Extended Syllabus 1. Probability and statistical inference: discrete and continuous random variables, mean values, variability, estimator theory, interval estimation
2. Software R: introduction, fundamental statistical function, use of specific packages
3. Control quality: process control quality, control charts for variables and attributes, CUSUM charts, V and EWMA charts. Acceptance sampling by attributed and by variables.
4. Statistical Control quality with the software R
5. 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; ch. 14 pg. 577-610; ch. 15 pg. 625-632).
Methods of Provision
Teaching Methods Lectures, exercises and R 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, also through empirical examples of the software R. 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, both in terms of calculation and R processing.
Contacts/More Information For further 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, floor 2.