Hi Brian:
I've searched information in the web but usually it is more complex
than my knowledge can evaluate. For example, in Wikipedia found
https://en.wikipedia.org/wiki/Beta_distribution, but it so deep for me,
but show some graph with different values of Beta and Alpha that could
help me.
I found some others like this, easier to understand the information:
https://stats.stackexchange.com/questions/47771/what-is-the-intuition-behind-beta-distribution
And found a program named "SciDavies" that could help me too.
But the major problem to me is my knowledge in statistics. It is not to
deep, although I already found some books that could help me too.
In general, when I made my question about it, I was trying to find a
way to make the process easier and fast to me.
Thank you very much because you try to help me, and clear me that
LibreOffice can't help with its formulas to solve my problem directly.
Regards,
--
Atentamente,
Jorge Rodríguez
El mar, 09-05-2017 a las 16:25 +0100, Brian Barker escribió:
At 08:08 08/05/2017 -0600, Jorge Rodríguez wrote:
Hi Brian, well, thank you for your answer
My point, of course, was that it was sufficient -
indeed, better - to explain that you had a table
with consecutive integers in one column and real
values in the other, rather than listing
eighty-two values and asking readers to make that observation themselves.
At 14:10 07/05/2017 -0600, Jorge Rodríguez wrote:
If I have a number of data about some topic, how
can I get the type of distribution using the
LibreOffice's formula ? How can I know if it is
normal, gamma, etc. ? There is a way ?
The simple answer is that your data will
certainly match none of those distributions - at least, not precisely.
Think of a straight line: this can be defined
exactly by two points. If you have three points,
they will not - except by an impossible
coincidence - lie on a straight line. But if you
believe that your data should lie on a straight
line, there are techniques that determine the
straight line which probably misses all of your
points but is in some sense the "best fit" to them.
Similarly, your analytic distributions will be
definable by a small number of points - certainly
a lot less than your forty-one. So the best you
can do is to attempt to fit various distributions
to your data and also to discover how good the
fit is in each case. That might help you to see
which distribution the data fits best. But a
better logic would be to decide from the nature
of your data - what it represents - which
distribution is likely, and then to fit the data
to such a distribution (if that is necessary).
In any case, Calc does not appear to have any
functionality that would help you here, but you
will certainly be able to build formulae to
achieve what you want in Calc once you have
unearthed the relevant mathematics. That will surely be out there on the web.
I trust this helps.
Brian Barker
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