Answer:
Therefore the probability that he was taught by method A is 0.78.
Step-by-step explanation:
Probability:
The ratio of the number of favorable outcomes to the number of all possible outcomes.
Bayes' Rule:
If the events
,
, .....
from a portion of a sample space S and A is any events of A, then

Given that,
There are two available method for teaching A and B.
The failure rate for A is 35%
That is P(F|A) =35%=0.35
The failure rate for B is 15%
That is P(F|A) =15%=0.15
A used 40% of the time.
P(A)=40%=0.40
B used 60% of the time.
P(A)=60%=0.60
To find P(A|F) , we use the Bayes's rule.


=0.78
Therefore the probability that he was taught by method A is 0.78.