Answer:A simple application of the definition of a conditional probability.
Let the following hold;
B= event that it rains tomorrow
A= event that it rains today
Now we assume that B and A are not independent as most competent localized meteorological models are non-Markovian. Then
P(B|A)=P(A∩B)P(A)=0.20.4=0.5
Note that P(B) was not needed given the other probabilities.
Now if per precise local weather dynamics, A and B are independent events, then
P(B|A)=P(B)=0.45
Step-by-step explanation: