Scale AI New Grad MLE Uniform Gap Phone Screen

They worked on Adjacent Order-Statistic Gap Distributions, using ten values from a uniform distribution and the gap between the fifth and sixth largest values.

The next step was to fit beta-distribution parameters with Python’s beta.fit(). They then placed the fitted density over a simulated distribution or histogram and explained whether the fit looked right.

They passed the phone screen. Four virtual onsite rounds were still coming up.

You can practice Beta Maximum Likelihood Fit on FastPrep.