I want to know if my data are normally distributed or log-normally distributed. I have determined the skewness and compared the geometric mean with the median. The skewness ( -0.62028989, -0.711225 , 0.27009979, -0.64940611, -0.6417016 , -0.64170172, -0.64929818, -0.63567714, -0.64806897, -0.62035446, -0.64381551, -0.64171187, -0.62480409) are tailed to the right and the geometric mean below the arithmetic mean which is below to the median.
My data is it log-normally distributed?
greetings,
as i see, your data has an obvious outlier ( 0.27009979 ). this datapoint is located very far from the median and it causes a huge skewness. If you are available to remove it you can assume your data as normal. if not, your data is not normal nor log-normal, as it contains negative values which makes log-normal transformation impossible.
Sincerely
Thanks Mehmet Guven Gunver
I plotted a boxplot for the data which gave a skewness of 0.27 no outliers observed.
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