The correct answer to the question "What is the probability mass function of
?" is not simply one of the options a), b), c), or d), but the set of probabilities we calculated for each value of
. The probability for
, which is the highest possible maximum value, is
, corresponding to option c).
The probability mass function (PMF) of a random variable gives the probability that a random variable is exactly equal to some value. In the case of two six-sided dice tossed independently, the maximum value
that can be observed from the two tosses can range from 1 to 6.
To find the PMF of
we need to calculate the probability that the maximum of the two dice is each of the possible values from 1 to 6.
For
, both dice must show 1. There is only one outcome for this:
- Probability
.
For
, the outcomes can be (1,2), (2,1), or (2,2), but not (1,1) as we've already accounted for that in
:
- Probability
.
Similarly, for
, the outcomes can be (1,3), (2,3), (3,1), (3,2), or (3,3), but not any with maximum 2 or less:
- Probability

Following this pattern, we can find the probabilities for \( M \) from 4 to 6.
For \( M = 4 \), there are 7 outcomes: (1,4), (2,4), (3,4), (4,1), (4,2), (4,3), and (4,4). None of these include the previous maximum values.
- Probability

For \( M = 5 \), there are 9 outcomes: (1,5), (2,5), (3,5), (4,5), (5,1), (5,2), (5,3), (5,4), and (5,5).
- Probability

Finally, for \( M = 6 \), there are 11 outcomes: (1,6), (2,6), (3,6), (4,6), (5,6), (6,1), (6,2), (6,3), (6,4), (6,5), and (6,6).
- Probability

Therefore, the PMF of
is as follows:
-

-

-

-

-

-

The correct answer to the question "What is the probability mass function of
?" is not simply one of the options a), b), c), or d), but the set of probabilities we calculated for each value of
. The probability for
, which is the highest possible maximum value, is
, corresponding to option c).