Distribution of measurements in Setterfield's data

Hello,

Here is a table I made based on the data available at the
link below at Lambert Dolphin's Library.

I'm curious about whether these results show anything
wrong or biases in Setterfield's presentation. For example,
if we take Setterfield's claim as the null hypothesis,
then we should be able to come up with a table like the
one below based on Setterfield's claim that the decay of c
follows a decay curve that he specifies.

But does the distribution below match the one expected if the
null hypothesis is true?

I'm a complete layman at math and statistics, so please
excuse me if there is nothing to this analysis. But I
thought it might be worth the effort if it can help to
show a definitive bias in Setterfield's presentation of
data.

Thanks,
Shepherdmoon

P.S. I did my best to format the table text to be aligned
in fixed-width text such as Courier. But there is no longer
a preview option on Google Groups, so I will have to learn
the results the hard way.

Distribution of sums and counts of c measurements and values,
based on Setterfield's published c data.

Sums of Measurements > c or < c
-------------------------------------------------------------
Sum of Measurements %
-------------------------------------------------------------
Total >c 50934 46.75% Total Measurements 108942
<c 58008 53.25%

Pre-1900 >c 37687 92.51% Total Pre-1900 40737
<c 3050 7.49%

Post-1900 >c 13247 19.42% Total Post-1900 68205
<c 54958 80.58%

Counts of c Values > c or < c
-------------------------------------------------------------
Count of c Values %
-------------------------------------------------------------
Total >c 126 60.87% Total c Values 207
<c 81 39.13%

Pre-1900 >c 77 68.14% Total Pre-1900 113
<c 36 31.86%

Post-1900 >c 49 52.13% Total Post-1900 94
<c 45 47.87%

SOURCE:
Cdata17.all data+cuts
http://www.ldolphin.org/allcdata17.xls

.

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