"If you made (x) mistakes then you'd likely score (y)"-chart Forum

[Lyov Myshkin]

..couldn't think of a snazzier title, unfortunately.

http://www.lsatqa.com/charts/errors_and_scores

i could probably have chosen a better time to share this than 2 weeks before the day of the test.

[Lyov Myshkin]

didn't want to make another post, and since this is kinda related:

http://www.lsatqa.com/charts/scaling_and_scoring_trends

you can select any lsat scaled score (presumably your target score) and see what the historical trends have been for the error-cutoff for that score. since the data is a bit jagged, our data scientist used a custom smoothing algorithm so that you could see the movement of the plots a bit more clearly.

[shifty_eyed]

didn't want to make another post, and since this is kinda related:

http://www.lsatqa.com/charts/scaling_and_scoring_trends

you can select any lsat scaled score (presumably your target score) and see what the historical trends have been for the error-cutoff for that score. since the data is a bit jagged, our data scientist used a custom smoothing algorithm so that you could see the movement of the plots a bit more clearly.

Are the dots the actual data points? And did you average the cut off per year? I'm most interested in variations between June and December curves.

[Lyov Myshkin]

i could make slight adjustments for a june/december graph though

[Lyov Myshkin]

didn't want to make another post, and since this is kinda related:

http://www.lsatqa.com/charts/scaling_and_scoring_trends

you can select any lsat scaled score (presumably your target score) and see what the historical trends have been for the error-cutoff for that score. since the data is a bit jagged, our data scientist used a custom smoothing algorithm so that you could see the movement of the plots a bit more clearly.

Are the dots the actual data points? And did you average the cut off per year? I'm most interested in variations between June and December curves.

I've just implemented a filter based on your suggestion, so you can see the data points for each respective test month. It was a pretty insightful idea, actually, while there are less data points (since we're only looking at one test a year now, sometimes not even for cases like february where they're not all disclosed), you get interestingly different results.

And I just realized I hadn't answered your question (about the dots being actual test data points):

They are, under the 'All' filter, an average cutoff based on the tests for that year. However, now that the filtering mechanism is in place, when you're filtering to see what the cutoff has been like for all February tests, they are indeed all individual tests.