In a meeting 60\% of the members favour and 40\% oppose a certain proposal. A member is selected at random and we take $X = 0$ if he opposed and $X = 1$ if he is in favour, then $\text{Var}(X) =$
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Anytime a random variable is strictly defined as $1$ for an event happening and $0$ for it not happening, it is an Indicator (or Bernoulli) variable. You can bypass tables and immediately use $\text{Mean} = p$ and $\text{Variance} = p(1-p)$.