Lognormal Distribution

JSD - NYC

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I have just read through the Lognormal section of the Quantative Methods Study Session. While I get the concept generally (it is the disribution of the original distribution raised to e and can reflect periodic investment return ratios), I am totally confused as to some of the equations and applications (e.g., the variance calculation makes little sense to me).
Question is this: How much of this do I need to know? Do I need to be able to make these calculations for the test or just to kind of know the concept from a 30,000 ft level?
Thanks. (BTW, the question is general one and not specific to anything that has been on a previous test.)
 
All you need to know is that if Y has a lognormal distribution, then ln(Y) has a normal distribution.
No calculations.
 
S2000magician wrote:
All you need to know is that if Y has a lognormal distribution, then ln(Y) has a normal distribution.
No calculations.
Thanks, S2000magician….. So, I literally do not need to know anything other than what the word means!
 
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