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## Statistical formulas |
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Initially we assign to each of the 30 answers a triplet
(,v,a)
which means: "Among all people who chose this answer, k % are visual, v % are auditive and
a % are kinesthetic".
kFor that we preserve only the samples for which we can determine the category without too much of risk to be mistaken, i.e. those for which: - the difference between the majority category and the following one is equal to or higher than 2 and the person does not believe to be in another category. OR
- the difference between the majority category and the following one is equal to or higher than 1 and the person do believe to be in the majority category.
We assign , a) by applying a coefficient such as
k + v + a =
100 (formula opposite).
k Three tables of 30 elements are thus obtained: [30], a [30].
k We check in the passing that they are negatively correlated one from each other
. For our sample we find: We can then calculate the coefficient of correlation
[30]. It is the formula opposite
with the huge square roots.
r |
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A question remain open: Do the experimental values of In own way of brief reply, I delivered myself to the same
calculation starting from a set of 50 samples generated by chance. (I
could employ to classify them only the first of the two criteria
described above), and I found the values |

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