@tk21769 Thanks for the reply! The problem I face is that I am an American citizen living abroad, so that means I am not a resident of any state, and therefore, there are no colleges that I can go for in-state prices (excluding special cases)…
@theloniusmonk I’m sorry that this was a late reply, but I was wondering why you said Caltech over MIT? On other sites, people said MIT is more engineering-focused while Caltech is more pure science.
Caltech has better pranks than MIT. That alone makes it a better selection.
But Caltech doesn’t have the Smoot unit of measure.
What I meant was that in order for my algorithm to accurately predict the probability of attending a specific school, the probabilities of admission for each college has to be independent. In general they are not. However, the biggest factors in admissions are usually SAT and GPA. Therefore the algorithms assumes that the conditional probability of your admission to a school given your SAT and GPA is independent from school to school. This is an approximation that ignores ECs, recommendations, difficulty of curriculum and many other factors. For some people, one can estimate these probabilities using Naviance scatter plots and counting the admits in the neighborhood of your SAT/GPA point divided by the total number of applications in that neighborhood.
Does your school have Naviance scatter plots? If not, you need to find some other way to assess the probability of admissions given your SAT and GPA. Does your school have any data?
@ClassicRockerDad Our school has Naviance scatter plots; however, they are quite useless as our school does not have much data as the data is from 2016, and our school is really small (18 ppl. in my grade).