[QUOTE]
*Originally posted by Wrath *
**I’ve seen this only in a movie and I’ve always wondered if it were true…
In a medical school, where it seems like they encourage the weak ones to fail, the professor said, for an exam, “there will be 1 “A” given, 2 “B’s”, 2 “C’s”, and the rest fail.” (there were about 10 students).
**
I believe the movie was Flatliners, although I can’t justify knowing that nugget of information.
At my medical school, this is not the way it works. The top 10% got honors, the next 70% passed, and 10% marginal passed, and 10% failed. If more than 10% got above 90/100, then usually more than 10% honored. Granted, we weren’t on an ABCD system of grading. Medical schools have a very high retention rate and it is not their aim to fail students, in my experience. It is very difficult to do well in medical school, but not very hard to pass.
I have just finished grading the exam for the class that I TA’ed (graduate school Genetics B). We made the test difficult and lengthy. The top grades in the class were around 93, and the average was around 75. I don’t know yet if we will need a curve. A good test is one in which nobody gets 100 and nobody gets 0, the peak is around 75, and it fits a bell curve. Since we only really have A, B or Fail in graduate school, we will move the B/Fail cutoff to 1 standard deviation below the mean.
The justification of a curve is as follows, IMHO. You have to define the term “failure” very carefully. Do you want to make someone repeat a class because they only knew less than 70% of the information? Probably. Can we write a test to accurately determine this? Probably not. At what point do you want to insist that a person needs to repeat a class? How can you determine from your test where that cutoff is? All of these things can be determined by looking at the test numbers, determining a mean, and determining a standard deviation.
So, the mean of the class (at least in graduate school where we don’t worry that the entire class is underacheiving or stupid) should be somewhere above passing, to control for teaching. You could pass if you were within a standard deviation of the mean. You could get an A if you are greater than a standard deviation (or two, we have to crunch the numbers) above the mean.