top | item 39308718

(no title)

klassik | 2 years ago

100% agree There's a simple statistical argument behind it: the variance drops as you increase the number of tests.

Let's say your true ability is A and you have one measurement M1. The variance (or, let's put it in another way: the probability that your M1 is waaaay different from your A) goes down if you also get M2, M3, M4 and take an average.

In other words: your measurements become more precise and the stress goes down a lot

discuss

order

mr_toad|2 years ago

Taking four independent samples isn’t the same as taking one sample and cutting it into four.

standardUser|2 years ago

One could say that grades are an even better metric! They measure all manner of academic topics over many years and across many different instructors.

ken47|2 years ago

Only if the grades are assigned in a standardized manner across all candidates, which they definitely are not.