14. In Example 4a we have shown that $$ E[(1 - V)] = E[(1 - U)] =...
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14. In Example 4a we have shown that
$$
E[(1 - √V)²] = E[(1 - √U)²] = \frac{4}{\pi}
$$
when V is uniform (-1, 1) and U is uniform (0, 1). Show that
$$
Var[(1 - √V)²] = Var[(1 - √U)²]
$$
and find their common value.
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