Probability of X in [-0.25, 0.75] Explained

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The discussion centers on understanding the probability expression P[|X-0.5|<0.25] within the context of a probability density function (pdf) and cumulative distribution function (cdf) plotted in the interval [-1, 1]. The expression |X-0.5|<0.25 translates to the range 0.25<X<0.75, indicating the values of X that fall within this interval. The participant acknowledges a lack of clarity regarding the absolute value concept and expresses gratitude for the clarification. The conversation highlights the importance of understanding basic probability concepts in relation to graphical representations. Overall, the thread emphasizes the need for foundational knowledge in probability to interpret such expressions correctly.
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Assuming i have plotted my pdf and cdf functions which lie in the interval [-1, 1] what does P[\left|X-0.5|<0.25] imply? The part i am not clear on is the \left|X-0.5| part. Please clear me out on this
 
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|X-0.5|<0.25 simply means 0.25<X<0.75.
 
I was just posting an apology when this came in. I did not think b4 asking (basic absolute value stuff) thanks any way. I need a walk
 
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