Answer:The value of Q can refer to different things depending on the context. In statistics, Q is defined as the ratio of the gap to the range, where both "gap" and "range" are positive. The larger the value of Q, the more likely that the suspected outlier does not belong to the same population as the other data points1. In nuclear physics, the Q-value of the reaction is defined as the difference between the sum of the masses of the initial reactants and the sum of the masses of the final products in energy units (usually in MeV)2. In statistics, a Q-value is a p-value that has been adjusted for the False Discovery Rate (FDR
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