Re: Histogram and Normality test
- From: "Paul " <par@xxxxxxxxxxxxxxxx>
- Date: Wed, 6 Aug 2008 23:41:02 +0000 (UTC)
"Mastaneh " <mtorkama@xxxxxxxxx> wrote in message
<g7cmca$a2c$1@xxxxxxxxxxxxxxxxxx>...
Dear all,
I have a 2^18-length data, sampled at 48 kHz with a 16-bit
ADC. The histogram is very close to the normal
distribution, but the data always fails the normality
hypothesis tests.
When plotting the histogram with 1000 bins, there are
various spikes in the figure. I know reducing the number of
bins help get a smoother curve, but am I correct in
assuming that these spikes are the reason the tests fail? I
mean, the test needs to average the spike amplitudes to get
the estimated distribution, so the result doesn't have the
same moments as the original sample.
I would investigate the source of the spikes in the original
data and not in the histogram bins. There are some scripts
to remove outliers and this may be all you need.
Thanks for any explanation,
Mastaneh
.
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- Histogram and Normality test
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