Yes, it is a normal distribution which means that it's tails will never cross the x-axis and therefore it is normed in a way that integration limits go from - ∞ to ∞.
https://www.wikiwand.com/en/Normal_distribution
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Sincerely yours,
idiosyncratic type
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IQ is calculated as non-negative number only. You usage of the statistical model is wrong here, what I've pointed above.
another one. N types are such N types...
> If you get that joke, your IQ is probably well above average.
but his T seems to be so so, anyway
P.S. my IQ was 110-115 by Amthauer test
Setting average IQ as 100 is illogical itself. I think IQ should only give percentile. That 100 is there for traditional reasons.
I don't get how one contradiction sets you off but you are able to look past other contradictions (set by your position) when you settle your mind. I don't get it. Sorry, but you are such an F.
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Winning is for losers
Sincerely yours,
idiosyncratic type
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The way how IQ is calculated is a shared definition. Without such a definition called standard a comparisson of results would be impossible.
Therefore such a standard makes sense.
But it's a choice making the number 100 the average IQ value; the test would also work with number 1000 as average value.
No, they don't. But there is also EQ, the value of emotional intelligence. I guess feeler score better in such tests.
No reason to feel devalued, F-types have strengths in other areas of daily life.
There are also areas in life I'm not that good at.
So tell me how it is calculated every single time even when tests fail to take into account such a dismal/high number and we have to invent a new test for it as it takes a very weird test that handles the tail portion of it which are symmetrical in both ends.
I think it takes a person with lots of IQ.
In fact there are people who design IQ tests for absolute geniuses (who are not one). It gets very difficult to get test subjects even if they accomplish the task and since it is so hard it due to limited number of people it also means that could give false results. One way to get grasp of this is to make a simulation. Let's say you make a computer program that "throws" few dices few billion times. Well, the result distribution won't be "perfect" although it is very very near. I have made one. It was quite fun.
MOTTO: NEVER TRUST IN REALITY
Winning is for losers
Sincerely yours,
idiosyncratic type
Life is a joke but do you have a life?
Joinif you dare https://matrix.to/#/#The16Types:matrix.org