INDUSTRIAL STATISTICS
cod. 1005711

Academic year 2021/22
1° year of course - Second semester
Professor
Francesco MORANDIN
Academic discipline
Probabilità e statistica matematica (MAT/06)
Field
Attività formative affini o integrative
Type of training activity
Related/supplementary
56 hours
of face-to-face activities
6 credits
hub:
course unit
in ITALIAN

Learning objectives

Each student should obtain the knowledge and the practical ability to develop advanced statistical analysis, based on the treated methods and techniques.
It is moreover required to become able to use Microsoft Excel in a thorough, flexible and very fast way.

Prerequisites

Analisi matematica 2, geometria 1, elementi di probabilità

Course unit content

1. Multiple regression, linear and polynomial, also heteroscedastic.
2. Design of Experiments (DoE).
3. Analysis of variance (ANOVA), one-way, two-way and with interactions.
4. Pearson's chi-square test (goodness-of-fit test and contingency tables).
5. Advanced hypothesis tests: Operating Characteristic (OC) Curves and power; test for p with exact binomial law. Fisher-Irwin test.
6. Montecarlo simulation.

Full programme

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Bibliography

1. Sheldon M. Ross - Introduction to Probability and Statistics for Engineers and Scientists, Fourth Edition - Academic Press, 2009 - ISBN 978-0123704832
2. Richard A. Johnson, Dean W. Wichern - Applied Multivariate Statistical Analysis - Pearson, 2007 - ISBN 9780131877153
3. Michael R. Middleton - Data Analysis Using Microsoft Excel: Updated for Office XP - South-Western College Pub, 2003 - ISBN 978-0534402938
4. Andrew Sleeper - Design for Six Sigma Statistics - McGraw-Hill, 2005 - ISBN 978-0071451628

Teaching methods

Class teaching (32 h) and computer lab on Microsoft Excel 2010 (24 h)

Assessment methods and criteria

1. Practical test: multivariate statistical analysis on MS Excel.
2. Interview.

Other information

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