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It looks like the easiest way to tackle the question is by considering the cumulative distribution function (CDF). Then the given data would read: CDF(174) = 0, CDF(225)=4/65, CDF(300)=(4+8)/65, etc. Now you need to interpolate CDF and then find it's inverse from 0.5