outliers basically reside at the extremes or outside an expected...

outliers basically reside at the extremes or outside an expected probability. by how much depends on what your criteria are.

it means, imo, that someone or something caused likely errors which would have skewed results to an unacceptable level.

instead of repeating the trial the seemingly more nimble management have stopped it instead of throwing good money after bad.

this makes sense, given the current pandemic setting ....could you imagine an ado ann that outlined a recommencement of a rat trial in late 2022?

it may well be too little too late but the call today is the right one.