Concept:
A random variable following the normal distribution is denoted by
\[
X\sim N(\mu,\sigma^{2}),
\]
where
• \(\mu\) is the mean of the distribution,
• \(\sigma^{2}\) is the variance,
• \(\sigma\) is the standard deviation.
One of the most important properties of the normal distribution is that its probability density curve is perfectly symmetric about its mean \(\mu\).
Due to this symmetry,
\[
\boxed{
P(X\mu)=\frac12.
}
\]
Thus, exactly half of the total area under the normal curve lies on each side of the mean.
Step 1: Examine the Assertion (A).
The assertion states that
\[
P(X<\mu)=0.5.
\]
Since the normal distribution is symmetric about the mean,
\[
\text{Area to the left of }\mu
=
\text{Area to the right of }\mu.
\]
The total probability under the curve is
\[
1.
\]
Hence,
\[
P(X<\mu)
=
\frac12
=
0.5.
\]
Therefore,
\[
\boxed{\text{Assertion (A) is True.}}
\]
Step 2: Examine the Reason (R).
The reason states that
\[
\text{``Normal distribution is symmetric about its mean.''}
\]
This is one of the fundamental properties of the normal distribution.
The bell-shaped curve is divided into two identical halves by the vertical line
\[
x=\mu.
\]
Hence,
\[
\boxed{\text{Reason (R) is also True.}}
\]
Step 3: Determine whether the Reason correctly explains the Assertion.
Since the normal distribution is symmetric about the mean,
\[
\text{Left Area}
=
\text{Right Area}.
\]
Therefore,
\[
P(X\mu)
=
\frac12.
\]
Thus, the statement in the Reason directly explains why
\[
P(X<\mu)=0.5.
\]
Hence,
\[
\boxed{\text{Reason (R) is the correct explanation of Assertion (A).}}
\]
Step 4: Write the final answer.
Both the Assertion and the Reason are true, and the Reason correctly explains the Assertion.
Therefore,
\[
\boxed{\text{Option (A)}}
\]
is the correct answer.