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To solve this problem, we need to determine the probability that the median of three independent and identically distributed random variables, drawn from a uniform distribution on the interval [0,4], exceeds 3.
Understanding the Uniform Distribution:
Each random variable, say Xi, follows a uniform distribution over [0,4]. This implies that the probability density function (pdf) is constant and equal to 41 over this range.
The probability of a single variable being greater than 3 is calculated as:
P(Xi>3)=44−3=41.
Defining the Events:
Calculating Probabilities:
Probability of Event A:
P(A)=(41)3=641.
Probability of Event B:
P(X1>3,X2>3,X3≤3)=(41)2⋅(43)=643.
P(B)=3⋅643=649.
Total Probability:
The probability that the median exceeds 3 is the sum of the probabilities of events A and B:
P(Median>3)=P(A)+P(B)=641+649=6410=325.
The probability that the median of three independent and identically distributed random variables drawn from a uniform distribution over [0,4] exceeds 3 is 325. This solution considers all possible configurations of the variables that satisfy the condition of the median being greater than 3, ensuring a comprehensive and accurate calculation.