Step 1: Use De Morgan’s law.
We know that
\[
\bar{A}\cup \bar{B}
=
\overline{A\cap B}
\]
Therefore,
\[
P(\bar{A}\cup \bar{B})
=
P(\overline{A\cap B})
\]
Using complement rule,
\[
P(\overline{A\cap B})
=
1-P(A\cap B)
\]
Hence,
\[
P(\bar{A}\cup \bar{B})
=
1-P(A\cap B)
\]
Step 2: Use conditional probability formula.
We know that
\[
P(A\cap B)
=
P(A)\,P(B|A)
\]
Therefore,
\[
P(\bar{A}\cup \bar{B})
=
1-P(A)P(B|A)
\]
This matches option (1).
Step 3: Verify the remaining options.
Option (2):
\[
P(\bar{A}\cup \bar{B})
=
1-P(A\cup B)
\]
This is incorrect because
\[
1-P(A\cup B)=P(\bar{A}\cap \bar{B})
\]
not
\[
P(\bar{A}\cup \bar{B})
\]
Option (3):
\[
P(\bar{A}\cup \bar{B})
=
P(A\cup B)
\]
This is not true in general.
Option (4):
\[
P(\bar{A}\cup \bar{B})
=
P(\bar{A})+P(\bar{B})
\]
This is incorrect because for unions,
\[
P(X\cup Y)=P(X)+P(Y)-P(X\cap Y)
\]
Step 4: Final conclusion.
Hence, the true statement is
\[
\boxed{
P(\bar{A}\cup \bar{B})
=
1-P(A)P(B|A)
}
\]
which corresponds to option (1).