Back to articles
Articles
Volume: 19 | Article ID: art00010
Image
The Significance Testing of a Skewed Color-Imaging Data Set
  DOI :  10.2352/CIC.2011.19.1.art00010  Published OnlineJanuary 2011
Abstract

In color-imaging science researchers frequently conduct experiments that are evaluated by measuring a number of ΔE values. Often the effect of various experimental parameters is evaluated by comparing the means of two or more sets of ΔE values. Frequently, a t-test is used but correct application of the t-test requires that a number of assumptions (such as the data being normally distributed or the sample size is big enough) are satisfied. In this article, an improved T statistic has been used in a case study where the data are skewed and do not have a normal distribution while at the same time the sample size is small. The importance of this assumption comes to mind when we realize that most of the derived data from the color-imaging science are not applicable for t-test because of not following a normal distribution.

Subject Areas :
Views 1
Downloads 0
 articleview.views 1
 articleview.downloads 0
  Cite this article 

Mohsen Mohammadzadeh, Maryam Mohammadzadeh, Stephen Westland, "The Significance Testing of a Skewed Color-Imaging Data Setin Proc. IS&T 19th Color and Imaging Conf.,  2011,  pp 43 - 47,  https://doi.org/10.2352/CIC.2011.19.1.art00010

 Copy citation
  Copyright statement 
Copyright © Society for Imaging Science and Technology 2011
72010350
Color and Imaging Conference
color imaging conf
2166-9635
Society of Imaging Science and Technology
7003 Kilworth Lane, Springfield, VA 22151, USA