<p>In my essay that I wrote for Brown University, I accidentally misspelled "nowhere" and spelled it "no where". How much will this affect my shot of getting in? If my chances of getting in were 100% (obviously drastic over-exaggeration), how much would this misspelling affect my chances of getting accepted? I've heard that it will have little to no effect at all, since they read so many essays in so little time, they won't even pick up on it, since after all, it's not like I misspelled it nowahre...I only added an extra space...However, I've also heard that since the essay is seen as a gauge of your comprehension and communication skills, it will have a huge impact on my chances of admission. Any thoughts?</p>
<p>don't worry about it, at all. if you wrote a solid essay that expressed who you were, a few grammar mistakes won't ding you at all unless there are like tons of them. so don't worry.</p>
<p>just chill. you can't do anything about it now anyways.</p>
<p>Are you seriously worried about one space in the essay? This has got to be a joke.</p>
<p>Dude, I'm a well-known grammar Nazi and I don't know if I'd pick up on/care about a mistake like that. It will not affect your chances at all.</p>
<p>no it won't affect your chances. I'm pretty sure a few grammatical errors are fine as long as they don't take away from the essay. I'm sure an error like that won't :)</p>
<p>glasstiger50,</p>
<p>By at least a smidge, if not a tad. Perhaps an iota.</p>
<p>It's hard to say.</p>
<p>I'm thinking it reduces your chances 4.369%</p>
<p>mikemac,</p>
<p>My advanced chances model (lots of regressions!) says 4.124%, with a p-value of .049</p>
<p>It's statistically significant, and therefore matters.</p>
<p>From my resources and calculations, I can safely say no more than 4.5%. Looks like it is fairly accurate with the calculations of others.</p>
<p>Tough luck. 4.5% chance means around 1000 students will be regarded with a higher status then you now.</p>
<p>w0oj0o,</p>
<p>You misunderstand my model. My model doesn't give chances, per se, but how much chances drop due to typos. It's very specific.</p>
<p>o yes. I meant. "tough luck. 4.5 chance DROP mean...."</p>
<p>UCLAri, I think using a Gaussian vs. a Poisson distribution to model other characteristics of the applicants with "typo in application" as an independent variable accounts for the differences in our results.</p>
<p>I used a power model and found the percentage to be around 4.382 percent so I guess I confirmed the previous percentages</p>
<p>You won't get it.</p>
<p>DP</p>
<p>mikemac,</p>
<p>Makes sense. I think it might be interesting to use Bayesian inference instead, as well.</p>
<p>Brown admission officers joke that they receive applications in which "Brown" is misspelled "Y-a-l-e." Don't worry about it.</p>
<p>L
O
L
Bring on the linear regression</p>
<p>Catalysis,</p>
<p>Linear regressions aren't very useful for what we want to do. We'd be better off with a probabilistic model. I'm a fan of objective Bayesianism.</p>
<p>There is no chance any college will accept you now. JK</p>