Answer:
k = 4
Step-by-step explanation:
Binomial probability distribution
The binomial probability is the probability of exactly x successes on n repeated trials, and X can only have two outcomes.

In which
is the number of different combinations of x objects from a set of n elements, given by the following formula.

And p is the probability of X happening.
In this problem we have that:
. So
P(X < k) = 0.6625
k only assumes discrete values, so

We have to find the cummulative distribution until we hit 0.6625. So










So k = 4