Denial Transfer Statistics?

Transfer Students UC Transfers
1

<p>Does anyone know if there is any place to find <em>denied</em> transfer statistics for universities (specifically UCs)? I think it would be far more useful to know if any 4.0 transfer students were denied admission than it is to know that one or more 3.5 transfer students were admitted. Ideally I would like to see a graph that shows the number of denials for every GPA in 0.1 increments. So in say 2009, 100 4.0s were denied, 150 3.9s, 400 3.8s, etc.</p>

2

<p>uhhh you can just find old threads on here…ive never seen a “4.0 denial” graph LOL</p>

3

<p>ya for some reason ive heard a few stories of people getting denied to ucla as a transfer student with a 4.0. my own belief is that the reason why is either they:
lacked ECs
their essay was not good or
they made a big ‘decision making’ mistake on their app (ex. they left out a class and because of that it shows they are only going to complete 57 units by the end of spring instead of 60 i know it sounds dumb but it has happened before) </p>

<p>but thats just my own philosophy on the whole 4.0 and denied situation.</p>

4

<p>Math 101</p>

<p>P(denied) = 1 - P(accepted)</p>

5

<p>[University</a> of California: StatFinder](<a href=“http://statfinder.ucop.edu/]University”>http://statfinder.ucop.edu/)</p>

<p>The UC’s generally have a 95% acceptance rate to ‘UC Eligible’ students with GPA’s in the range of 3.8-4.0. UCLA and UCB are exceptions to this rule and this demographic has a rate of only ~65% but due to statfinder also publishing the schools yeild rate (how many accepted students actually go there) is so low they are applying to both schools meaning that combined there is somewhere ~85% chance of being accepted to one or both.</p>

6

<p>**** i forgot about statfinder^
but in my defense its not really a graph…but you seriously should look at old official acceptance (or rejection) threads…i was surprised/freaked out by how many near perfect gpa people got rejected to berkeley</p>

7

<p>Well, as I tried to convey, this is almost certainly because applicants apply to both schools.</p>

<p>Say that both LA and Berk have a 66% acceptance rate and a near identical yield rate* and students apply to both their demographics will break down as:</p>

<p>_ BB-</p>

<p>L XXL
L XXL

  • BB-</p>

<p>Where X represents students who were accepted into both Berk and LA and B and L represents students accepted into only one.</p>

<p>Students represented by X have a 50% chance of going to either school so the resulting students end up as follows:</p>

<p>_ BB-</p>

<p>L LLL
L BBL

  • BB-</p>

<p>This means that 89% of students with a 3.8-4.0 managed to get into either school and based on the application trends at the other schools, you can always count on a error margin of 5-10% of students who were not accepted, but I am guessing that this is because they did not complete the class prereqs.</p>

<p>*These approximations are near identical to the statfinder data.</p>

<p>I really love statistics…</p>