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« **on:** January 09, 2008, 11:24:12 PM »
from wikipedia:

In statistics such as stratified samples, an outlier is an observation that is numerically distant from the rest of the data. Statistics derived from data sets that include outliers will often be misleading. For example, if one is calculating the average temperature of 10 objects in a room, and most are between 20 and 25 degrees Celsius, but an oven is at 350 °C, the median of the data may be 23 but the mean temperature will be 55. In this case, the median better reflects the temperature of a randomly sampled object than the mean. Outliers may be indicative of data points that belong to a different population than the rest of the sample set.

on all of these graphs you'll see a solid line of admits....the question bugging me is....who are the outliers?

like ilovecheese said...people that got into HYS with sub 170 lsats, not people that get into cooley with + 170 lsats (which would also be outliers, but not the ones i'm interested in).

obviously, you'll have some jokers screwing around to mess up the numbers, i.e. profiles with 4.0 and 180 lsats, not saying they dont exist but people are bound to mess with the site.

does everyone assume like I do that the numbers on LSN are slightly higher than reality, just because people that are so interested in the process are going to have slightly higher numbers? can we make the assumption that when a school admits students below their 25th percentiles, they are admitting a larger percentage of students that dont use sites like this to improve their applications, maybe older students that arent so net savvy?