The dbt is very popular in other areas of research like long term
medical experiments, to avoid that the researcher himself is
influencing things. That is not bomb proof either and is just as
important afte the test as the data can be consuisly or unconsiusly
doctored after the fact in the statistical treatment.

So the verdict betwwen a and b is ideally decided without testpersons
or researcher have any clue what is what. But even then it can be
botched, the reasercher can filter out " anomalies" or other odd data
that does not " fit " . This does not need to be deliberate , the
researcher can feel strongly for one kind of outcomme and skew the
dataset.

That level of rigour may not be needed at home :) 

However what may be needed is enogh test, I forgot most of my maths
sorry .

Q what is statiscally signifant ? 

I get that if 3 of 5 people prefere a vs b it does not prove a thing as
it could easilly be a coincidence , for so few tests would not 5 of 5 be
the only reliable result ?
So a larger dataset is needed.

Likewise results like 52/48 in large dataset may be unreliable to.

Is it any accepted easy formulla that is " good enough" for our purpose
.

For example if you do 10 test or use 10 test subjects how good must the
verdict a vs b be to be trusted ?
6/4 or 7/3 .

But if you are a bunch of people it would be doable to have everyone do
the test 10 times or so.

If you do it all by yourself you migth be very bored trying to take 100
test :-/


-- 
Mnyb

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