If a random variable X has normal distribution with mean m and standard deviation sigma, then (X - m)/sigma has N(0,1) distribution that you can find anywhere. So if you need to find Pr(X > a) then you write
Pr(X > a) = Pr ((X- m)/sigma > (a - m)/sigma)
and then use the table because the right side is just the probability that N(0,1) random variable is greater than (a-m)/sigma.
In your case m = 63.6, sigma = 2.5, a = 61 so (a-m)/sigma = -1.04 . This probability is 0.85 as you can see from the table..
For your last question you should use slightly modified reasonings: the 1% corresponds to such a threshold b that
Pr(N(0,1) > b) = 0.01
Form the table https://en.wikipedia.org/wiki/Standard_normal_table you see that b = 2.32. So now you just need to write
(a - m)/sigma = 2.32 and therefore a = (2.32*sigma + m). In your case you will get a = 63.6 + 5.8 = 69.4. This is the cut off height.