On Uses of Dot Chart

dc.contributor.author	Elamir, Elsayed A. H.
dc.date.accessioned	2018-07-31T08:59:15Z
dc.date.available	2018-07-31T08:59:15Z
dc.date.issued	2016-10
dc.identifier.issn	2384-4787
dc.identifier.uri	https://journal.uob.edu.bh:443/handle/123456789/1820
dc.description.abstract	A simple and informative dot-chart is presented that gives clear picture and insight into the nature of the data by partitions the unity using cumulative distribution function into two parts below and above the mean to obtain measure of skweness that is zero for any symmetric distribution and to three parts based on 50% confidence interval for normal random variable to obtain a measure of data-density or data-concentration that is zero for normal distribution. This type of dot-chart has advantages over histogram and quantile-quantile plot where it does not required bin as histogram or plotting position as QQ-plot	en_US
dc.language.iso	en	en_US
dc.publisher	University of Bahrain	en_US
dc.rights	Attribution-NonCommercial-ShareAlike 4.0 International	*
dc.rights.uri	http://creativecommons.org/licenses/by-nc-sa/4.0/	*
dc.subject	Dot Chart
dc.subject	Histogram
dc.subject	Skewness
dc.subject	QQ-Plot
dc.title	On Uses of Dot Chart	en_US
dc.type	Article	en_US
dc.identifier.doi	http://dx.doi.org/10.12785/JERAA/030202
dc.volume	03
dc.issue	02
dc.pagestart	121
dc.pageend	127
dc.source.title	Journal of Empirical Research in Accounting & Auditing
dc.abbreviatedsourcetitle	JERAA