I have a dataset with right skewed data. It represent frequency of candidates vs their TTB (which is essentially the number of days)
Now the TTB values less than 14 or so are possible. But not with as much frequency. Some of it has been incorrectly entered into the system. There is no way of ascertaining how many of them are incorrect.
So I want to reduce the density of data starting from the lower values until about 14 or so. Is there any statistical method to do that?
I thought of (Median - 2.5*Median absolute deviation), but my median is 22 and MAD is 13. I also thought of double MAD but in that case my MAD is 0.
Can someone suggest any approach to this?