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To find the randomized median in a dataset, you randomly select a value from the dataset and compare it to the other values. This process is repeated multiple times to determine the median.

The randomized median calculation method differs from traditional methods because it involves randomness in selecting values, whereas traditional methods involve sorting the dataset and finding the middle value. This randomness can provide a different perspective on the dataset and may be useful in certain scenarios.

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Q: What is the process for finding the randomized median in a dataset and how does it differ from traditional median calculation methods?
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