It was interesting to know how "Sample Count", "Output XY-points", and "Truncate To" affect a distribution view.
1) Does the size of "xs" and "ys" much influence on the math logic of working with this data? Let say, would be there a difference between calculation in cases with {xs: Array(100), ys: Array(100)}? Keeping in mind that CDF/PDF is a numeric representation of the analytic form of functions, in this case of the probability distribution function.
2) What will be if I use trunсated CDF/PDF to calculate the users' scores in foretold.io?
It was interesting to know how "Sample Count", "Output XY-points", and "Truncate To" affect a distribution view.
1) Does the size of "xs" and "ys" much influence on the math logic of working with this data? Let say, would be there a difference between calculation in cases with {xs: Array(100), ys: Array(100)}? Keeping in mind that CDF/PDF is a numeric representation of the analytic form of functions, in this case of the probability distribution function.
2) What will be if I use trunсated CDF/PDF to calculate the users' scores in foretold.io?