The correlation between data and an

The correlation between data and an unknown quantity is usually subject to some degree of
uncertainty. For example, if you knew that 75% of the time a players’ eye twitches when they are
bluffing, but such a tic occurs only 10% of the time otherwise, then you would gain some ability
to identify a bluff. But in this case, even if you always spot the tic, you cannot be sure that a
bluff is in progress. This is because the model itself has an element of uncertainty built in: the
data has an imperfect correlation with the unknown. In order to make inferences is such cases
you need to build a statistical model to account for the uncertainty, so I will refer to these cases
as statistical inference.

Kết quả (Anh) 1:

The correlation between data and an unknown quantity is usually subject to some degree ofeconomic uncertainty. For example, if you knew that 75% of the time a players ' eye twitches when they arebluffing, but such a tic occurs only 10% of the time otherwise, then you would gain some abilityto identify a bluff. But in this case, even if you always spot the tic, you cannot be sure that aBluff is in progress. This is because the model itself has an element of uncertainty built in: thedata has an imperfect correlation with the unknown. In order to make inferences is such casesyou need to build a statistical model to account for the uncertainty, so I will refer to these casesas statistical inference.

Kết quả (Anh) 2:

The correlation the between data and an unknown quantity is subject to some degree of Thường
uncertainty. For example, if you Knew That 75% of the time a players' eye twitches khi chúng
bluffing, but vd a tic occurs only 10% of the time nếu không, then you would gain some ability
to Identify a bluff. But in this case, if you always spot the chẵn tic, you can not be sure mà a
bluff is in progress. This is vì chính nó model has an element of uncertainty built in: the
data has an imperfect correlation with the unknown. In order to make inferences is vd Cases
Statistical you need to build a model to account for the uncertainty, than I will refer to these Cases
as Statistical inference.