  Let $Q=(q_n)_{n=1}^{\infty}$ be a sequence of integers greater than or equal
to 2. We say that a real number $x$ in $[0,1)$ is {\it $Q$-distribution normal}
if the sequence $(q_1q_2... q_n x)_{n=1}^{\infty}$ is uniformly distributed mod
1. In \cite{Lafer}, P. Lafer asked for a construction of a $Q$-distribution
normal number for an arbitrary $Q$. Under a mild condition on $Q$, we construct
a set $\Theta_Q$ of $Q$-distribution normal numbers. This set is perfect and
nowhere dense. Additionally, given any $\alpha$ in $[0,1]$, we provide an
explicit example of a sequence $Q$ such that the Hausdorff dimension of
$\Theta_Q$ is equal to $\alpha$. Under a certain growth condition on $q_n$, we
provide a discrepancy estimate that holds for every $x$ in $\Theta_Q$.
