Understanding Chebychevs Inequality

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Hi, I am having trouble understanding Chebychevs inequality.

when it states P[|x-mu|>=ksigma]<=1/k^2, I don't really get what x-mu represents, For example if I wanted to know the probability that a<x<b, how would I use the inequality?

would I have to put a and b in terms of standard deviations?, is that what x-mu represents?

Thank you so much, anything that you can say about the inequality, even if it doesn't answer my specific question may help me to understand it better...
 
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