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keisanHigh-precision calculations for everyday life and work

Log-normal Distribution (Percentile)

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Given the lower cumulative probability P(x) or the upper cumulative probability Q(x) of the log-normal distribution, calculate the percentile.
Cumulative Mode
Cumulative Probability
0≦P,Q≦1
Mean μ of ln(x)
Standard deviation σ of ln(x)
σ>0
\(\normalsize Lognormal\ distribution\ LogN(x,\mu,\sigma)\\ (1)\ probability\ density\\ \hspace{30px}f(x,\mu,\sigma)= {\large\frac{1}{\sqrt{2\pi}\sigma x}e^{-\frac{1}{2}\left(\frac{\ln(x)-\mu}{\sigma}\right)^2}}\\ (2) lower\ cumulative\ distribution\\ \hspace{30px}P(x,\mu,\sigma)={\large\int_{\small 0}^{\small x}}f(t,\mu,\sigma)dt\\ (3) upper\ cumulative\ distribution\\ \hspace{30px}Q(x,\mu,\sigma)={\large\int_{\small x}^{\small\infty}}f(t,\mu,\sigma)dt\\\)

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