As indicated in this section the normal procedure when working with statistics is to set the P-value (P for probability) to 0.05. In other words, if an incident happens with the likelihood
of 1 out 20 to happen by chance, then that observation is deemed statistically significant. However, we cannot use 0.05 as the P-value in the following section about the Sun's aspects to various celestial bodies, and in the following I shall explain why.
First some numbers: The present investigation into the Sun's aspects include 130 celestial bodies, and the accumulated number of investigated aspects is 1,543. If I use a P-value of 0.05, then I would expect 77 of the found "statistically significant" aspects
to have happened by accident - namely 5% of 1,543.
I did find 128 aspects with a P-value equal to or below 0.05. This means that 51 of the aspects can be expected to be genuinely statistically significant. At least that is one way of solving the problem:
To elevate the 51 found aspects with the lowest P-value to be genuinely statistically significant.
There is another solution to the problem: If I divide the 5,040 data into 2 sets with each set consisting of 2,520 data, then I can identify the
aspects with a P-value equal to or below 0.05 and existing in both data sets - these are the aspects, which have been replicated. Finally I can use the P-values in these 6 aspects to estimate a general P-value, which I can use for
the non-replicated aspects as well.
I found 6 such replicated aspects. I used these 6 replicated aspects to identify a P-value of 0.015. When I use this new P-value on the entire data set of 5,040 data, I end up with 46 genuinely statistically significant
aspects among which 4 are replicated - i.e. existing in both the 2 sets of each 2,520 data. The 46 genuinely statistically significant aspects with a P-value equal to or below 0.015 are listed below in Table 1 and Table 2.