What Determines the Correct K Value for a Probability Density Function?

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To determine the correct K value for a probability density function (PDF), the function must satisfy specific criteria, including that the area under the curve equals one. This ensures that the total probability is normalized. The discussion emphasizes understanding the properties of PDFs and the significance of the K value in achieving legitimacy. A proper approach involves integrating the function over its domain to find the appropriate K. Ultimately, the correct K value is essential for the function to be recognized as a valid probability density function.
Jason03
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I am tyring to solve the follwing problem...


http://www.imagedump.com/index.cgi?pick=get&tp=549226

What is the appropriate K valuefor this to be a legitimate probability density function?

Im not exactly sure of the approach to this problem...
 
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Well all you need to do is to understand it means for some function to be considered a legitimate pdf. What criteria must it satisfy?
 

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