▲ | nightski 3 days ago | |||||||
Having a shifted mean doesn't mean they aren't a normal distribution. Not saying they are necessarily, but the anecdote you are providing isn't convincing. | ||||||||
▲ | kurthr 3 days ago | parent | next [-] | |||||||
Perhaps, but due to the sampling of the distribution you would likely never know. If 95% of your samples fit in the top 3 bins, you can’t say much at all with certainty. Poisson, Gaussian, binomial, Boltzmann, gamma… | ||||||||
| ||||||||
▲ | marian_ivanco 3 days ago | parent | prev | next [-] | |||||||
That is not IMHO what he is trying to say, you don't shift the distribution, you measure if somebody passed a test. I the test is "passable" then one side of "distribution" is at least cut off. E.g. it's normal (and sometimes expected) that the whole class will pass without issues. | ||||||||
▲ | dowager_dan99 3 days ago | parent | prev [-] | |||||||
if your scale doesn't have the atomic values at the top end to differentiate the data it's not a normal, it's Pareto or Zipf or some other power law. |