Cumulative Distribution Function problem

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The discussion revolves around determining the cumulative distribution function (CDF) of the middle value Y from three independent random variables X1, X2, and X3, all sharing the same CDF F(x). Participants express confusion about what constitutes the "middle value," clarifying that it refers to the median of the three variables. An example illustrates that for values -5, 3000, and 500, the middle value Y is 500, as it lies between the other two values. Despite this clarification, there remains uncertainty on how to approach the problem mathematically. The conversation highlights the challenge of applying concepts of order statistics to find the CDF of Y.
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Homework Statement


Let the independent random variables X1,X2,X3 have the same cdf F(x). Let Y be the middle value of X1,X2,X3. Determine the cdf of Y.


Homework Equations



F(x) = P(X<=x) = ∫-inf to x f(y)dy

The Attempt at a Solution



I don't understand the question, what does it exactly mean when Y is the middle value of X1,X2,X3? I'm not exactly sure where to start. Can somebody help?
 
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If one sample is X_1= -5, X_2= 3000, X_3= 500, then Y is the "middle value", 500. 500 is the "middle value" because -5< 500< 3000.
 
Oh.. Ok

I'm still a bit lost on how to tackle this problem..:confused:
 
Question: A clock's minute hand has length 4 and its hour hand has length 3. What is the distance between the tips at the moment when it is increasing most rapidly?(Putnam Exam Question) Answer: Making assumption that both the hands moves at constant angular velocities, the answer is ## \sqrt{7} .## But don't you think this assumption is somewhat doubtful and wrong?

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