How do I determine a standard deviation with the mean and range known?

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How do I determine a Standard deviation with the mean and range known?

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You can't. Without knowing what the distribution is, you can't really know what the standard deviation.

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You cannot; below are a few examples demonstrating the variance can be pretty much arbitrary.

Mean: $\frac{1}{2}$. Range: $[0,1]$.

  • Example #1: $\operatorname{Bernoulli}(\frac12)$. Variance: $\frac14$.

  • Example #2: $\operatorname{Uniform}([0,1])$. Variance: $\frac{1}{12}$.

  • Example #3: $\operatorname{Dirac}(\frac12)$. Variance: $0$.

  • Example #4: $\frac12(\operatorname{Dirac}(\epsilon)+\operatorname{Dirac}(1-\epsilon))$. Variance: $\epsilon(1-\epsilon)$.

  • Example #5: $\operatorname{Triangle}(0,1,\frac12)$. Variance: $\frac{1}{24}$.

  • Example #6: $\operatorname{Beta}(\alpha,\alpha)$. Variance: $\frac{1}{4\sqrt{2\alpha+1}}$.

If you want the effective range (ie, only the set of values with probability non zero), you still get #2, #5 and #6.

In particular, #6 by itself shows that any variance in $(0,\frac{1}{4})$ is achievable.