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As a statistician I will try to defend my field. Statistic is a field to represent the noise and uncertainty by quantifying it. It is unclear to you or lackin
by digitalzombie 9y ago
As a statistician I will try to defend my field.
Statistic is a field to represent the noise and uncertainty by quantifying it.
It is unclear to you or lacking in brutal honesty but the honest truth is the world is not perfect. If Kobe can shoot 100% of the free throw then you can perfectly model it without statistic but sometime he misses and because of that we need statistic to take into account the fact that while we expect him to make freethrows sometime he miss his shot. Without statistic you cannot take into account the sometime Kobe miss shot.
It is also the field that define in definite what significant means. Statistically significant is the difference between this med really works versus it's a placebo/not sig enough.
Another concrete example of not perfect is data. Either collection of data (missing data, measurement, etc..) is not perfect and statistic helps. You can do ordinary least square without caring about statistic but finding outliers in the data, fixing the missing data, etc.. require statistic iirc.
- nonbel 9y ago>"As a statistician I will try to defend my field. [...] Statistically significant is the difference between this med really works versus it's a placebo/not sig enough." Nope, you are making at least two errors here. You can search for "statistical significance vs practical significance" and "research hypothesis vs statistical hypothesis" to learn more. That is a confusing topic though, it would be best done away with altogether like this course appears to do.