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--- In amibroker@xxxxxxxxxxxxxxx, "palsanand" <palsanand@xxxx> wrote:
> For BandWidth I use just one period namely 20 bars, but lately I
> found out that 50 is better because of something to do with 50
being
> a better sample size than 20 to approximate a normal (gaussian)
> distribution and so I am going to modify it. I also use ATR(20)
for
> BandWidth calculation and I am going to change it to ATR(50) also.
Actually, the central limit theorem states that the sampling
distribution of *sample means* approaches a normal distribution with
increased sample size, regardless of the shape of the population from
which the samples are drawn. Increasing *sample size* alone does no
such thing.
> For calculating Z-Scores the sample size does not matter, anything
> from 2 to 50 is ok.
The probabilities in the z table technically apply only to a
theoretical sample size of infinity. To be exact, you would actually
need a separate z table for each different sample size. But the
difference between a sample size of 50 and an infinite one is small
(approximately .07 SDs).
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