Detect Outliers, Remove outliers, Check normality, Take log function in SPSS

this video we demonstrate how to check for outliers in data, ways to remove them, check for normality of data and make the data normally distributed through the use of log functions.
#statastics : #panel #datascience : #correlation #analysis #fixed #effects AND #random #effects : #HAUSMAN #test #hausmannskost #stata #paneldata #correlation #fixedeffect #randomeffects #random #dataanalysis #paneldata
#Detectoutliers #outliers #remove #outliers, Check #normality #normalitycheck #dataanalysis #logtransformation #logfunctions #spss

[@user-gv7cq4rt6m]

Thank you very much😊

[@js6271]

Thank you for the video. Where is the 2.68 value you mentioned come from?

[@dr.rahman107]

Thanks for watching the video. Z score of 2.68 is considered to be within 99% of the normal distribution of a bell curve. Therefore, its suggested as a cut off point. You can further check its details from internet.