Subscribe Now Subscribe Today
Science Alert
 
Blue
   
Curve Top
Information Technology Journal
  Year: 2003 | Volume: 2 | Issue: 2 | Page No.: 135-139
DOI: 10.3923/itj.2003.135.139
 
Facebook Twitter Digg Reddit Linkedin StumbleUpon E-mail

Type I Error Rate and Power of Three Normality Tests

Mehmet Mendes and Akin Pala

Abstract:
In this study, Shapiro-Wilks, Lilliefors and Kolmogorov-Smirnov tests were compared for Type I error and for power of the tests. The simulation was run 100, 000 times for different situations and for different types of departures from normality. For all different sample sizes and distributions, Shapiro-Wilks gave the most powerful results, followed by the Lilliefors test. Kolmogorov-Smirnov test results were the weakest among all three tests. All three test were most powerful when ran on data with exponential distribution.
PDF References Citation Report Citation
How to cite this article:

Mehmet Mendes and Akin Pala , 2003. Type I Error Rate and Power of Three Normality Tests. Information Technology Journal, 2: 135-139.

DOI: 10.3923/itj.2003.135.139

URL: https://scialert.net/abstract/?doi=itj.2003.135.139

COMMENT ON THIS PAPER
 
 
 

 

 
 
 
 
 
 
 
 
 

 
 
 
 
 

Curve Bottom