Answer:
And adding the results we got:

Explanation:
We can define the variable of interest s X representing the number of correct questions for the exam. and we can model this random variable with a binomial distribution. The probability of select the correct answer would be
since is a true/false question.

And we want to find this probability:

The probability mass function for the Binomial distribution is given as:
Where (nCx) means combinatory and it's given by this formula:
And we want to find this probability:
We can find the individual probabilities and we got:
And adding the results we got:
