As a general statement, I would say that converting raw scores to percentiles will reduce skew/kurtosis, if skew/kurtosis is present in the raw scores.
There are 3 different ways to calculate percentile scores in SPSS, one of which creates a new variable in the data editor which can be used for analysis and chart creation.
Good simple explanation for students. Well done.
Hi great demo as usual from how2 stats...can you please give the reference of formula that you have used, Percentile rank = ((X-0.5)/N) * 100 ???
As always, a great help.
Why do you subtract 0,5? Doing simple math on super small size sample (n=4) I see the results are more accurate without this subtraction.
What is the connection of the percentile scores to the normality of data?
As a general statement, I would say that converting raw scores to percentiles will reduce skew/kurtosis, if skew/kurtosis is present in the raw scores.
There are 3 different ways to calculate percentile scores in SPSS, one of which creates a new variable in the data editor which can be used for analysis and chart creation.
Why isn't there a rank 3 and 5?
Thank you !!!!!!!!