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What is the difference between absolute and limited salvation?

in my opinion there is no limited and unlimited salvation. absolute means there is no beginning or ending .


I have two data sets with the same number of values with means x1 and x2 and standard deviations of n1 and n2. How do you average means with standard deviations?

You can't average means with standard deviations. What are you trying to do with the two sets of data?


The difference of the absolute value of two numbers is positive?

Yes. The absolute value of two numbers is ALWAYS positive. This is because absolute value means "the number of spaces a number is from zero on a number line.


Does multiple means plus?

multiple means multiple, plus means plus.


What is zettai?

It means "absolute".


What is the difference between tooth and teeth?

tooth means JUST one teeth and teeth means ALOT of them


Is it possible to have a negative absolute pressure?

No. "Absolute" means non-negative.


Do some normal probability distributions have different arithmetic means and different standard deviations?

Yes. Most do.


What is positive and negative voltage value?

generally we calculate voltage difference not absolute voltage but we say it voltage so if V(AB) is positive then V(BA) will be negative.V(AB) means voltage difference between A and B.


What is kilopascal absolute?

A kilopascal is a thousand pascal - a unit of pressure. "Absolute" means the actual pressure - this is in contrast to measuring a pressure DIFFERENCE (usually, how much higher some pressure is, compared to atmospheric pressure).


What is it called when you declare an absolute that is not an absolute?

An absolute that is not an absolute is a fiction. Generally, absolute, by definition, means something tangible or intangible that is perfect in quality or nature and not limited by restrictions or exceptions. If something cannot fit that description then it is not absolute.


Do normal probability distributions have different arithmetic means and different standard deviations?

Yes. And that is true of most probability distributions.