The answer depends on whether the x is in subscript font (most likely) or not.
If there is no suffix after log, it is assumed to be 10. So logA, = b if A = 10^b.
If the x is in suffix form, then logxA is the log of A to the base x. In this case, logxA = b if A = x^b.
Then logxA = logA/logx - both to base 10.
If the x is not a suffix then logxA = log(x*A) = logx + logA
This browser is nearly totally useless for mathematics and despite our complaints over several months, it does not look as if it will be fixed in a hurry.
logxA means the logarithm of A, to the basis x. When you only write log A, the base is usually implied - it might be base 10, for example, but you may need to guess this based on the context.
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The answer depends on whether the x is in subscript font (most likely) or not.
If there is no suffix after log, it is assumed to be 10. So logA, = b if A = 10^b.
If the x is in suffix form, then logxA is the log of A to the base x. In this case, logxA = b if A = x^b.
Then logxA = logA/logx - both to base 10.
If the x is not a suffix then logxA = log(x*A) = logx + logA
This browser is nearly totally useless for mathematics and despite our complaints over several months, it does not look as if it will be fixed in a hurry.
logxA means the logarithm of A, to the basis x. When you only write log A, the base is usually implied - it might be base 10, for example, but you may need to guess this based on the context.
You can use the change of base formula which is: logxb logab=--------- logxa
Yes it is possible.If limit(f) > 0 then limit(loga(f)) = loga(limit(f)).All logarithmic functions loga(x) are continuous as long as x > 0. Where-ever a function is continuous, you can make that kind of swap.
its between the letters
The ratio between two different quantities is the rate.Usually, the second unit is a measure of time.
There is no such thing as "the usual sampling distribution". Different distributions of the original random variables will give different distributions for the difference between their means.There is no such thing as "the usual sampling distribution". Different distributions of the original random variables will give different distributions for the difference between their means.There is no such thing as "the usual sampling distribution". Different distributions of the original random variables will give different distributions for the difference between their means.There is no such thing as "the usual sampling distribution". Different distributions of the original random variables will give different distributions for the difference between their means.