If a distribution is known to be binomial, the most convenient formula that can be used to calculate the variance is $\sigma^{2}=\sum^{2} p(x)-\mu^{2}$.

Name: If a distribution is known to be binomial, the most convenient formula that can be used to calculate the variance is $\sigma^{2}=\sum^{2} p(x)-\mu^{2}$.
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The correct formula for the variance of a binomial distribution is $\sigma^{2} = np(1-p)$, where $n$ is the number of trials and $p$ is the probability of success on each trial.

If a Distribution Is Known to Be Binomial, the Most σ2=∑2p(x)−μ2\sigma^{2}=\sum^{2} p(x)-\mu^{2}σ2=∑2p(x)−μ2

If a Distribution Is Known to Be Binomial, the Most $\sigma^{2}=\sum^{2} p(x)-\mu^{2}$