Citation
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
Abstract
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.
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Additional Metadata
| Item Type: | Article |
|---|---|
| Divisions: | Faculty of Science |
| Publisher: | Asian Research Publishing Network |
| Keywords: | Normality test; Statistical package; Anderson-darling; Kolmogorov-smirnov; Saphiro-wilk |
| Depositing User: | Mohd Hafiz Che Mahasan |
| Date Deposited: | 13 Aug 2018 08:02 |
| Last Modified: | 13 Aug 2018 08:02 |
| URI: | http://psasir.upm.edu.my/id/eprint/55127 |
| Statistic Details: | View Download Statistic |
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