Threads by latest replies - Page 200

(22 replies)
No.14374379 ViewReplyOriginalReport
Suffering from anxiety. It started while studying Maths and drinking coffee months ago. Now I don't know what to do. It's quietly taking over my life. I take Zyprexa if that helps. What should I do?
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(5 replies)
No.14377163 ViewReplyOriginalReport
I'm doing an average of 3 metrics a, b and c, the lower average the better.
Before I do the average, I want to apply coefficients to these metrics, 'a' being the most important metric, and 'c' the least important.

How can I reinforce 'a''s importance in the final average if the aim is to have the lowest average?

What coefficient should I apply to 'a'? 1.5 or 0.5?
(5 replies)
No.14376949 ViewReplyOriginalReport
Are there numbers we haven't discovered yet?
(6 replies)
No.14376642 ViewReplyOriginalReport
>professor introduces difficulty material
>says "not my problem"
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(11 replies)
No.14372570 ViewReplyOriginalReport
Peterson has pulled my attention to this phenomena "utilisation behavior", so let's say a "naïve" person with this condition is exposed to a complex object, Rubik cube for example, would he be able to to solve it? If yes, then what is the impediment to the normal person? is it knowledge itself?
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(7 replies)
No.14376927 ViewReplyOriginalReport
Is Homo Habilis truly a primitive human or just another Australopithecus specie smarter than the former ones? He still looks extremely ape.
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(6 replies)

Applications of Combinations

No.14376981 ViewReplyOriginalReport
I've already gone over permutations and combinations, along with the fundamental counting principle, but how do you apply all this stuff? I haven't gone over squaring, which is also something I see a lot of when trying to figure out the total number of combinations of something. It would be nice to be guided towards a video or two or a book that would explain everything.
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(8 replies)
No.14372991 ViewReplyOriginalReport
Is autism just Neanderthal DNA showing through?

We know that Neanderthals make up a sizable minority of modern human ancestry, and genes can be carried for generations without expressing until they're combined in the right way.
We also know that one of the main destinations between Neanderthals and Homo Sapien is their social structure. Neanderthals lived in small groups rather than communities, and seemed to do a lot of their hunting, gathering, and other work alone.
Autism is often described as a lack of social instinct, but a lot of Autistic behaviour, such as growling at people or "stress sighing" (that weird Minecraft villager noise autists make when you tell them to stop being retarded), seems like instinctual behaviour that normal people lack.

Is it possible that when a person inherits specific gene pairs from their parents' Neanderthal heritage, they develop some or all of the social instincts of a Neanderthal in place of normal Homo Sapien instincts?
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(5 replies)

Central Limit Theorem usages, doubts and misconceptions

No.14376579 ViewReplyOriginalReport
I am twisting my career towards Data Science and, after some time refreshing my statistics base, I realized that statistics is one of the fields in which people tend to missunderstand more the basis, even teachers and specialists.

For that reason I am now a bit skeptical about some widely used techniques. For a project, I need to contrast two means from two different populations. Tthe standard deviation from both populations is unknown and sample distributions are not strictly normal (they have belled shape but their skewness and kurtosis differ from normal values).

Under this circumstances, Internet suggests me different approaches:

1) To asume the distirbutions are normal (despite they are not) and to apply a welch-test to determine if means differ (welch-test is like t-test but it is applied when it is not known that the two samples share the same sd value). People who suggest it argue that welch test is pretty robust to some degree of non-normality.

2) Applying Central Limit Theorem to both samples and then applying the Welch test to the sample mean distributions.

3) Applying a non parametric test to compare the two means.

4) Transforming both sample distributions into normal distributions and then applying a test. (For some irrational reason and considering my data is not far away from being normally distributed, I don't like this approach very much).


What do you think it is the best approach? I have been googlering about it the whole day, but I have not found a solid response. Maybe the question is a bit silly, but Internet is full of bad answers.

Thank you very much.
(5 replies)
No.14376707 ViewReplyOriginalReport
Are there any actual scientific cons to race-mixing?
(heightened medical risks for example)