Assessing normality for data with different sample sizes using SAS, Minitab and R

Different statistical packages may produce different results of statistical analysis such as normality test. One of possible sources of the difference is the computational approach. This study tries to explore results of normality tests based on different statistical packages. Empirical data with va...

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Main Authors: Fitrianto, Anwar, Low, Yen Chin
Format: Article
Language:English
Published: Asian Research Publishing Network 2016
Online Access:http://psasir.upm.edu.my/id/eprint/55127/1/Assessing%20normality%20for%20data%20with%20different%20sample%20sizes%20using%20SAS%2C%20Minitab%20and%20R.pdf
http://psasir.upm.edu.my/id/eprint/55127/
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spelling my.upm.eprints.551272018-08-13T08:02:41Z http://psasir.upm.edu.my/id/eprint/55127/ Assessing normality for data with different sample sizes using SAS, Minitab and R Fitrianto, Anwar Low, Yen Chin Different statistical packages may produce different results of statistical analysis such as normality test. One of possible sources of the difference is the computational approach. This study tries to explore results of normality tests based on different statistical packages. Empirical data with varied sample sizes were conducted. It was found that SAS, Minitab, and R produced different conclusion in normality test. Meanwhile, sample size also has effect on the test of normality where larger sample size tends to produce different conclusion of normality. But, all the three statistical packages produced similar results of normality test for AD and KS tests. Asian Research Publishing Network 2016-09 Article PeerReviewed text en http://psasir.upm.edu.my/id/eprint/55127/1/Assessing%20normality%20for%20data%20with%20different%20sample%20sizes%20using%20SAS%2C%20Minitab%20and%20R.pdf Fitrianto, Anwar and Low, Yen Chin (2016) Assessing normality for data with different sample sizes using SAS, Minitab and R. ARPN Journal of Engineering and Applied Sciences, 11 (18). pp. 10845-10850. ISSN 1819-6608 http://www.arpnjournals.com
institution Universiti Putra Malaysia
building UPM Library
collection Institutional Repository
continent Asia
country Malaysia
content_provider Universiti Putra Malaysia
content_source UPM Institutional Repository
url_provider http://psasir.upm.edu.my/
language English
description Different statistical packages may produce different results of statistical analysis such as normality test. One of possible sources of the difference is the computational approach. This study tries to explore results of normality tests based on different statistical packages. Empirical data with varied sample sizes were conducted. It was found that SAS, Minitab, and R produced different conclusion in normality test. Meanwhile, sample size also has effect on the test of normality where larger sample size tends to produce different conclusion of normality. But, all the three statistical packages produced similar results of normality test for AD and KS tests.
format Article
author Fitrianto, Anwar
Low, Yen Chin
spellingShingle Fitrianto, Anwar
Low, Yen Chin
Assessing normality for data with different sample sizes using SAS, Minitab and R
author_facet Fitrianto, Anwar
Low, Yen Chin
author_sort Fitrianto, Anwar
title Assessing normality for data with different sample sizes using SAS, Minitab and R
title_short Assessing normality for data with different sample sizes using SAS, Minitab and R
title_full Assessing normality for data with different sample sizes using SAS, Minitab and R
title_fullStr Assessing normality for data with different sample sizes using SAS, Minitab and R
title_full_unstemmed Assessing normality for data with different sample sizes using SAS, Minitab and R
title_sort assessing normality for data with different sample sizes using sas, minitab and r
publisher Asian Research Publishing Network
publishDate 2016
url http://psasir.upm.edu.my/id/eprint/55127/1/Assessing%20normality%20for%20data%20with%20different%20sample%20sizes%20using%20SAS%2C%20Minitab%20and%20R.pdf
http://psasir.upm.edu.my/id/eprint/55127/
http://www.arpnjournals.com
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