What does lognormal distribution use to describe concentration and dispersion, geometric mean plus minus standard deviation? Mean and standard deviation (sometimes variance) should be used to describe the concentration and dispersion of normal distribution data, which is recorded as X ± S. median and interquartile spacing, mean deviation, etc. should be used to describe skew distribution data. What is the representation of lognormal distribution after variable transformation in the article, and what is the procedure in SPSS,

What does lognormal distribution use to describe concentration and dispersion, geometric mean plus minus standard deviation? Mean and standard deviation (sometimes variance) should be used to describe the concentration and dispersion of normal distribution data, which is recorded as X ± S. median and interquartile spacing, mean deviation, etc. should be used to describe skew distribution data. What is the representation of lognormal distribution after variable transformation in the article, and what is the procedure in SPSS,

If the random variable x follows the lognormal distribution, then it follows the normal distribution after the logarithmic transformation y = LNX. That is to say, the original distribution of X is (right) skew distribution. After the logarithmic transformation, it becomes normal distribution, or the lognormal variable becomes normal variable after the logarithmic transformation