Wouldn't It Be Great if Everybody Had a Gun?

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ChrryBlstr

Registered User
Forum Member
Feb 11, 2002
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Hoosier country
Today, 06:32 AM
Remove user from ignore list
Skulnik
This message is hidden because Skulnik is on your ignore list.


Ummmm.....yeah. Newsflash!

I have NO IDEA what you're writing or what you've posted for several months now. Your inability to engage in meaningful debates and constant posting of inane videos and name calling became boring and redundant after the first few times.

So yeah, out of everyone on here....only you and Taint have achieved ignore status. Congrats!

Buh-bye (again)! :)
 
Skulnik

Skulnik

Truth Teller
Forum Member
Mar 30, 2007
22,283
1,455
113
Jefferson City, Missouri
ChrryBlstr said:
Today, 06:32 AM
Remove user from ignore list
Skulnik
This message is hidden because Skulnik is on your ignore list.


Ummmm.....yeah. Newsflash!

I have NO IDEA what you're writing or what you've posted for several months now. Your inability to engage in meaningful debates and constant posting of inane videos and name calling became boring and redundant after the first few times.

So yeah, out of everyone on here....only you and Taint have achieved ignore status. Congrats!

Buh-bye (again)! :)
Click to expand...

Right Sponge, why do you use multiple ID's?

You can PeeK again, PussyChop.

:wall: :00x31 :00x13
 
Trampled Underfoot

Trampled Underfoot

Registered
Forum Member
Feb 26, 2001
13,593
164
63
bleedingpurple said:
Definitely not Sponge. Why do you always post videos that have no correlation to the thread?
Click to expand...

Here ya go, skul. You're welcome.

Correlation and dependence
From Wikipedia, the free encyclopedia
This article is about correlation and dependence in statistical data. For other uses, see correlation (disambiguation).
In statistics, dependence refers to any statistical relationship between two random variables or two sets of data. Correlation refers to any of a broad class of statistical relationships involving dependence.
Familiar examples of dependent phenomena include the correlation between the physical statures of parents and their offspring, and the correlation between the demand for a product and its price. Correlations are useful because they can indicate a predictive relationship that can be exploited in practice. For example, an electrical utility may produce less power on a mild day based on the correlation between electricity demand and weather. In this example there is a causal relationship, because extreme weather causes people to use more electricity for heating or cooling; however, statistical dependence is not sufficient to demonstrate the presence of such a causal relationship (i.e., Correlation does not imply causation).
Formally, dependence refers to any situation in which random variables do not satisfy a mathematical condition of probabilistic independence. In loose usage, correlation can refer to any departure of two or more random variables from independence, but technically it refers to any of several more specialized types of relationship between mean values. There are several correlation coefficients, often denoted ρ or r, measuring the degree of correlation. The most common of these is the Pearson correlation coefficient, which is sensitive only to a linear relationship between two variables (which may exist even if one is a nonlinear function of the other). Other correlation coefficients have been developed to be more robust than the Pearson correlation ? that is, more sensitive to nonlinear relationships.[1][2][3]

http://en.wikipedia.org/wiki/Correlation_and_dependence
 
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