<p><a href=“http://www.stanford.edu/dept/uga/pdf/CounselorsNL_Web.pdf[/url]”>http://www.stanford.edu/dept/uga/pdf/CounselorsNL_Web.pdf</a></p>
<p>Based on the statistics provided in this Stanford press release, I decided to do some analysis. Let us say there are 3 students (X, Y and Z) who applied to Stanford with slightly varying performance metrics. Based on my analysis below, Student X had a 54% chance of getting selected for admission, Y had a 42% chance and Z had a 32% chance.</p>
<p>Curious what you guys think ?</p>
<p>Student X:
GPA: 4.0, SAT-M 700+, SAT-V 700+, Class Rank - Top 10%
According to that press release the respective admit rates were as follows:
17%, 17%, 21%, 16%</p>
<p>What will be the cummulative admit rate? Based on my probability analysis, the cummalative admit rate of student X will be:</p>
<p>1 - {(83/100)<em>(83/100)</em>(79/100)*(84/100)}
1- .4572
54.28%
There was 54.28% chance of student X getting admission in Stanford that year.</p>
<p>Student Y:
GPA: 3.8, SAT-M 700+, SAT-V 690+, Class Rank - Top 20%
According to that press release the respective admit rates were as follows:
10%, 17%, 9%, 15%</p>
<p>1- {(90/100)<em>(83/100)</em>(91/100)*(85/100)}
1-.5778
42.22%
There was 42.22 % chance of student Y getting admission in Stanford that year.</p>
<p>Student Z:
GPA: 3.5, SAT-M 650, SAT-V 650, Class Rank - Top 20%
3%, 10%, 9%, 15%
1- {(97/100)<em>(90/100)</em>(91/100)*(85/100)}
32.47%
There was 32.47% chance of student Z getting admission in Stanford that year.</p>
<p>Math doesn’t lie. Any thoughts?</p>