I have a Genomic data that shows the interaction between genomic regions that I would like to understand which interactions are significant statistically.

Dataset look likes:

`chr start1 end1 start2 end2 normalized count 1 500 1000 2000 3000 1.5 1 500 1000 4500 5000 3.2 1 2500 3500 1000 2000 4 `

So, I selected a random number of data (as background) and fitted the normalized frequency into the Weibull distribution using `fitdistrplus R packages`

and estimated some parameters like scale and shape for those sets of data `(PD = fitdist(data$ normalized count,'weibull')`

).

Now I would like to calculate the probability of each observation (like a p-value for each data point) under the fitted Weibull distribution.

But I do not know how can I do that, Can I calculate the Mean of distribution then calculated Z-statistic for each observation and convert it to the p-value?

for example:

The random background that fitted to Weibull using the below parameters:

`scale:0.12 shape:023 Mean: 20 Var:12 `

How can I calculate the probability of sets of data like (1.2,2.3,4.5,5.0,6.1)?