Exercise 1.1: A Special Dice Game

About the dice game "Max"

In the dice game "Max" two dice are thrown. The higher number of points of the two dice is multiplied by $10$ and then the lower number of points is added to it. For example, a „2“ and a „4“ gives the game result $42$ and a „5“ and a „6“ gives the result $65$. The smallest possible result of a roll is therefore $31$. The following rules also apply:

A "double" (the same number twice) is generally valued higher than two unequal dice.
Thus, a "double one" is higher than $65$, but lower than any other double.
A special position in this game is occupied by the "Max" (a „1” and a „2”) . This combination, shown in the picture, is higher than the double six.

Player $X$ starts the game. He wins if the player $Y$ cannot beat the presented result. The other multiple options of this game are not considered here.

Hints:

The exercise belongs to the chapter Some basic definitions of probability theory.

The sample solution is summarized in a short video .

Questions

	Players $X$ and $Y$ have equal chances.
	Player $X$ has an advantage.
	Player $Y$ has an advantage.

$I \ =\ $

$\rm Pr\big[double six\big]\ =\ $

$\rm Pr\big[any \;double\big]\ =\ $

$\rm Pr\big[Max\big]\ =\ $

${\rm Pr}\big[Y\; {\rm wins}\big]\ =\ $

$R_{\rm \min}\ =\ $

Solution

(1) Player $X$ has an advantage, because player $Y$ has to trump him. The game would be fair, for example, if it were scored as a "draw" when the rolls were exactly equal. However, over a longer period of time, even if $X$ and $Y$ start alternating, there will be equal chances of winning.

(2) $\underline{I = 21}$ different outcomes are possible. These are (starting with the lowest):

$$31, 32, 41, 42, 43, 51, 52, 53, 54, 61, 62, 63, 64, 65, 11, 22, 33, 44, 55, 66, 21.$$

(3) However, the $21$ possible results of this dice game are not equally probable, therefore the probabilities cannot be determined according to the classical definition $($the result would be $1/21)$ .

If one at least mentally makes a distinction between the dice, for example by a blue $(B)$ and a red $(R)$ there are $6^{2} = 36$ equally probable events, among others the event ${\rm Pr\big[double six\big]} = (B = 6) \cap (R = 6)$.
For both dice, the probability of a „6“ is equal to $1/6$. Since the numbers of the two dice are, of course, statistically independent, the following is true

$${\rm Pr\big[double six\big] = Pr}(B = 6 \cap R = 6) = 1/36 \;\underline{= 0.0278}.$$

"Note": from the naming "result", one might incorrectly conclude that this is an outcome. However, according to the definitions in this chapter, the result is to be considered as an event (summary of outcomes).

(4) This probability can be stated with $K = 6$ and $M = 36$ as follows:

$${\rm Pr\big[any \ double\big] = Pr}(B = R) = K/M = 1/6 \; \underline{= 0.1667}.$$

(5) Analogously, the probability for the Mäxchen can be calculated with $K = 2$ and $M = 36$ :

$${\rm Pr\big[Max\big] = Pr}(B = 1 \cap R = 2) + {\rm Pr}(b = 2 \cap R = 1) = 1/18 \; \underline{= 0.0556}.$$

(6) The probability that $Y$ wins if $X$ got „53” is $5/9\; \underline{\approx 0.555}$.
The sample solution of this subtask is summarized in a $\rm short video$ .

(7) To solve the last sub-task, we again assume a two-dimensional representation and rank the matrix elements according to their values (see graph). From this we can see:

With the default value of „$65$” , the opponent has only a chance of winning of $8/36 = 0.222$.
This means that your own chance of winning is about $77.8\%$.
With „$64$” , on the other hand, player $X$'s chance of winning would be only about $72.2\%$.
The correct solution is therefore $R_\min\; \underline{ = 65}$.