MTU Library Catalogue

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Using statistics / James Reilly.

By: Reilly, James, FRSS.
Material type: materialTypeLabelBookPublisher: Dublin : Gill & Macmillan, 2006Description: vi, 180 p. : ill., charts ; 25 cm.ISBN: 0717140229 .Subject(s): Statistics -- MethodologyDDC classification: 519.5
Contents:
Observation -- Uncertainty -- Models -- Estimation -- Testing -- Experiments -- Prediction -- Processes.
Holdings
Item type Current library Call number Copy number Status Notes Barcode
General lending MTU Bishopstown Library Lending 519.5 (Browse shelf(Opens below)) 1 Available CIT Module MATH 6063 - Core reading. 00159667
General lending MTU Bishopstown Library Lending 519.5 (Browse shelf(Opens below)) 1 Available 00159666
General lending MTU Bishopstown Library Lending 519.5 (Browse shelf(Opens below)) 1 Available 00158217
Total holds: 0

Enhanced descriptions from Syndetics:

Uses practical worked examples and problems with answers, in an Irish context

Provides an insight into your processes, allowing you to understand them and ultimately improve them

Can be used alone or in conjunction with any statistical package of choice

Web support is provided for lecturers on www.gillmacmillan.ie with PowerPoint slides, web links, and data sets for each chapter, which support all statistical software

Suitable for undergraduate students of business, science & engineering, post-graduate students, researchers and professionals.

Comments from students:

'Very well presented. The author made it seem very simple. The examples use real life, are easy to understand and interesting'

'The author understands the worries students have, and knows our limits'

'Examples are relevant and easy to relate to'

Includes index.

Observation -- Uncertainty -- Models -- Estimation -- Testing -- Experiments -- Prediction -- Processes.

Author notes provided by Syndetics

James Reilly lectures in statistics at the Institute of Technology Tallaght, and is an External Examiner for many other Institutes. An expert in statistics, he is a Fellow of the Royal Statistical Society and has consulted for many multinational corporations, government agencies and SMEs.