Step 1: Since \(X\), \(Y\), \(Z\) are each randomly drawn from the same set \(\{1,2,3,4\}\) independently of one another, each is a discrete uniform random variable on \(\{1,2,3,4\}\), and being independent draws, \(X\), \(Y\), \(Z\) are mutually independent random variables.
Step 2: For independent random variables, the expectation of the product equals the product of the expectations: \[E(XYZ) = E(X)\,E(Y)\,E(Z)\]
Step 3: Find \(E(X)\) for a uniform distribution on \(\{1,2,3,4\}\): \[E(X) = \frac{1+2+3+4}{4} = \frac{10}{4} = 2.5\] Similarly \(E(Y) = E(Z) = 2.5\).
Step 4: Multiply: \[E(XYZ) = (2.5)(2.5)(2.5) = (2.5)^3 = 15.625\]
Step 5: Convert to a mixed fraction: \[15.625 = 15\frac{5}{8}\]
So \(E(XYZ) = 15\dfrac{5}{8}\), which is option (A).