Show simple item record Elamir, Elsayed A. H. 2018-07-31T08:59:15Z 2018-07-31T08:59:15Z 2016-10
dc.identifier.issn 2384-4787
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 *
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.volume 03
dc.issue 02
dc.pagestart 121
dc.pageend 127
dc.source.title Journal of Empirical Research in Accounting & Auditing
dc.abbreviatedsourcetitle JERAA

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