Title :
A comparison of normality tests using SPSS, SAS and MINITAB: An application to Health Related Quality of Life data
Author :
Razali, N.M. ; Shamsudin, N.R. ; Azid, N.N.N. ; Hadi, A.A. ; Ismail, A.
Author_Institution :
Fac. of Comput. & Math. Sci., Univ. Teknol. MARA, Shah Alam, Malaysia
Abstract :
Numerous studies have been conducted on the power of various tests of normality such as Shapiro-Wilk (SW), Kolmogorov-Smirnov (KS), Lilliefors (LF) and AndersonDarling (AD) tests. This paper focuses on the application of these normality tests. The mentioned tests of normality were performed on Health Related Quality of Life (HRQoL) data sets using three different statistical packages; SPSS, SAS and MINITAB. The results for small, moderate and large sample were compared. Comparisons were also made with the results obtained from a simulation study. On top of that, other methods for testing normality such as the skewness and kurtosis coefficients provided in different statistical packages were also presented.
Keywords :
data handling; medical administrative data processing; software packages; statistical testing; AD test; Anderson-Darling test; HRQoL data sets; KS test; Kolmogorov-Smirnov test; LF test; Lilliefors test; MINITAB; SAS; SPSS; SW test; Shapiro-Wilk test; health related quality of life data; kurtosis coefficients; normality tests; statistical packages; Distributed databases; Gaussian distribution; Histograms; MATLAB; Standards; Synthetic aperture sonar; Testing; Anderson-Darling; HRQoL; Kolmogorov-Smirnov; Lilliefors; SF-36; Shapiro-Wilk; Test of normality;
Conference_Titel :
Statistics in Science, Business, and Engineering (ICSSBE), 2012 International Conference on
Conference_Location :
Langkawi
Print_ISBN :
978-1-4673-1581-4
DOI :
10.1109/ICSSBE.2012.6396570
