[R] A somewhat off the line question to a log normal distribution
kahra at mpsgr.it
Thu Dec 2 11:14:30 CET 2004
I am not a statistician, but I have learned that according to the Central Limit Theorem (CLT) sums of random variables, regardless of their form, will tend to be normally distributed. CLT does not require the variables in the sum to come from the same underlying distribution.
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E-mail: kahra at mpsgr.it
From: r-help-bounces at stat.math.ethz.ch
[mailto:r-help-bounces at stat.math.ethz.ch]On Behalf Of Siegfried Gonzi
Sent: Thursday, December 02, 2004 10:18 AM
To: r-help at stat.math.ethz.ch
Subject: [R] A somewhat off the line question to a log normal
Oh yes I know it isn't so much related to R, but I gather there are a
lot of statisticians reading the mailing list.
My boss repeatedly tried to explain me the following.
Lets assume you have got daily measurements of a variable in natural
sciences. It turned out that the aformentioned daily measurements follow
a log-normal distribution when considered over the course of a year.
Okay. He also tried to explain me that the monthly means (based on the
daily measurements) must follow a log-normal distribution too then over
the course of a year.
I somehow get his explanation.
But I have measurements which are log-normal distributed when evaluated
on a daily basis over the course of a year but they are close to a
Gaussian distribution when considered under the light of monthly means
over the course of a year.
Is such a latter case feasible. And if not why.
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