all of these questions are applications of different probability rules!
For part (a) you can use the formula P(M u E) = P(M) + P(E) – P(both M and E)
So that ends up being 0.60 + 0.80 – 0.50 = 0.90 for this set of information
On part (b), it would be conditional probability
P(E/M) = P(M and E) / P(M)
So that ends up being 0.50 / 0.60 = 5/6
Part (c) is getting after independence. That can be checked by seeing if this formula holds
P(M and E) = P(M) * P(E)
for this set of data, 0.60*0.80 = 0.48, which does not equal 0.50, meaning that these events are not independent
Finally then for part (d), it’s a similar calculation just with updated values
0.51*0.80 = 0.357, which matches the overlap value. That means that in two years these events would be independent