Probability of X in [-0.25, 0.75] Explained

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SUMMARY

The discussion clarifies the interpretation of the probability expression P[|X-0.5|<0.25] within the context of probability density functions (pdf) and cumulative distribution functions (cdf) plotted in the interval [-1, 1]. The absolute value inequality |X-0.5|<0.25 translates to the range 0.25 PREREQUISITES

  • Understanding of probability density functions (pdf)
  • Familiarity with cumulative distribution functions (cdf)
  • Basic knowledge of absolute value inequalities
  • Concept of random variables and their distributions
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  • Learn about cumulative distribution functions (cdf) and their applications
  • Explore absolute value inequalities and their implications in probability
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Students in statistics, data analysts, and anyone involved in probability theory or statistical modeling who seeks to deepen their understanding of probability expressions and their implications.

ahamdiheme
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Assuming i have plotted my pdf and cdf functions which lie in the interval [-1, 1] what does P[[tex]\left|X-0.5|[/tex]<0.25] imply? The part i am not clear on is the [tex]\left|X-0.5|[/tex] 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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