SAT Verbal scores range from 200 to 800 in increments of 10. MIT says that for the class of 2023, the acceptance rates were, for various score ranges
- 750-800 10% = 677/6504
- 700-740 06% = 312/5039
- 650-690 03% = 87/2614
- 600-640 01% = 11/1091
- 200-590 00% = 3/688
How would you estimate the probability of acceptance for a given score, say 750, given this data? You could say 10%, but in reality the probability is likely lower for scores of 750 than 800. You can fit smooth monotonic functions to acceptance rate vs score to the binned data, but there is no unique solution.