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...

Full description

Bibliographic Details
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/
http://psasir.upm.edu.my/id/eprint/55127/1/Assessing%20normality%20for%20data%20with%20different%20sample%20sizes%20using%20SAS%2C%20Minitab%20and%20R.pdf
_version_ 1848852720055746560
author Fitrianto, Anwar
Low, Yen Chin
author_facet Fitrianto, Anwar
Low, Yen Chin
author_sort Fitrianto, Anwar
building UPM Institutional Repository
collection Online Access
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.
first_indexed 2025-11-15T10:42:33Z
format Article
id upm-55127
institution Universiti Putra Malaysia
institution_category Local University
language English
last_indexed 2025-11-15T10:42:33Z
publishDate 2016
publisher Asian Research Publishing Network
recordtype eprints
repository_type Digital Repository
spelling upm-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
spellingShingle Fitrianto, Anwar
Low, Yen Chin
Assessing normality for data with different sample sizes using SAS, Minitab and R
title 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_short 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
url http://psasir.upm.edu.my/id/eprint/55127/
http://psasir.upm.edu.my/id/eprint/55127/
http://psasir.upm.edu.my/id/eprint/55127/1/Assessing%20normality%20for%20data%20with%20different%20sample%20sizes%20using%20SAS%2C%20Minitab%20and%20R.pdf