Applied Statistics Module Version 3

This module is intended to facilitate teaching and learning of Statistics courses in colleges and universities at degree level. It is specially tailored for students of science, engineering and technology. This book provides examples and exercises that present important ideas of statistics in a real...

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Main Authors: Siti Zanariah, Satari, Noryanti, Muhammad, Siti Roslindar, Yaziz, Nor Hafizah, Moslim, Roslinazairimah, Zakaria, Farahanim, Misni
Format: Book
Language:English
Published: Penerbit Universiti Malaysia Pahang 2018
Subjects:
Online Access:http://umpir.ump.edu.my/id/eprint/18629/
http://umpir.ump.edu.my/id/eprint/18629/
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id ump-18629
recordtype eprints
spelling ump-186292019-10-16T01:42:23Z http://umpir.ump.edu.my/id/eprint/18629/ Applied Statistics Module Version 3 Siti Zanariah, Satari Noryanti, Muhammad Siti Roslindar, Yaziz Nor Hafizah, Moslim Roslinazairimah, Zakaria Farahanim, Misni QA Mathematics This module is intended to facilitate teaching and learning of Statistics courses in colleges and universities at degree level. It is specially tailored for students of science, engineering and technology. This book provides examples and exercises that present important ideas of statistics in a realistic setting to show connections between theory and application in industry and scientific research. The materials in this module also integrate well with statistical software packages especially in the topics on descriptive statistics, graphical summary, hypothesis testing, analysis of variance and regression models. The use of Microsoft Excel is emphasised in this module. NOR HAFIZAH BINTI MOSLIM ROSLINAZAIRIMAH BINTI ZAKARIA FARAHANIM BINTI MISNI Penerbit Universiti Malaysia Pahang 2018 Book PeerReviewed image en http://umpir.ump.edu.my/id/eprint/18629/1/app%20stat%20v3.jpg Siti Zanariah, Satari and Noryanti, Muhammad and Siti Roslindar, Yaziz and Nor Hafizah, Moslim and Roslinazairimah, Zakaria and Farahanim, Misni (2018) Applied Statistics Module Version 3. Penerbit Universiti Malaysia Pahang, Kuantan, Pahang. ISBN 978-967-2226-02-4 http://apps-cfm.ump.edu.my/staff/ebooksump/browse_ebook.cfm?idbook=1222
repository_type Digital Repository
institution_category Local University
institution Universiti Malaysia Pahang
building UMP Institutional Repository
collection Online Access
language English
topic QA Mathematics
spellingShingle QA Mathematics
Siti Zanariah, Satari
Noryanti, Muhammad
Siti Roslindar, Yaziz
Nor Hafizah, Moslim
Roslinazairimah, Zakaria
Farahanim, Misni
Applied Statistics Module Version 3
description This module is intended to facilitate teaching and learning of Statistics courses in colleges and universities at degree level. It is specially tailored for students of science, engineering and technology. This book provides examples and exercises that present important ideas of statistics in a realistic setting to show connections between theory and application in industry and scientific research. The materials in this module also integrate well with statistical software packages especially in the topics on descriptive statistics, graphical summary, hypothesis testing, analysis of variance and regression models. The use of Microsoft Excel is emphasised in this module. NOR HAFIZAH BINTI MOSLIM ROSLINAZAIRIMAH BINTI ZAKARIA FARAHANIM BINTI MISNI
format Book
author Siti Zanariah, Satari
Noryanti, Muhammad
Siti Roslindar, Yaziz
Nor Hafizah, Moslim
Roslinazairimah, Zakaria
Farahanim, Misni
author_facet Siti Zanariah, Satari
Noryanti, Muhammad
Siti Roslindar, Yaziz
Nor Hafizah, Moslim
Roslinazairimah, Zakaria
Farahanim, Misni
author_sort Siti Zanariah, Satari
title Applied Statistics Module Version 3
title_short Applied Statistics Module Version 3
title_full Applied Statistics Module Version 3
title_fullStr Applied Statistics Module Version 3
title_full_unstemmed Applied Statistics Module Version 3
title_sort applied statistics module version 3
publisher Penerbit Universiti Malaysia Pahang
publishDate 2018
url http://umpir.ump.edu.my/id/eprint/18629/
http://umpir.ump.edu.my/id/eprint/18629/
http://umpir.ump.edu.my/id/eprint/18629/1/app%20stat%20v3.jpg
first_indexed 2023-09-18T22:26:29Z
last_indexed 2023-09-18T22:26:29Z
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