Aufgaben:Exercise 3.1: Probabilities when Rolling Dice: Difference between revisions

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{{quiz-Header|Buchseite=Informationstheorie/Einige Vorbemerkungen zu zweidimensionalen Zufallsgrößen
{{quiz-Header|Buchseite=Information_Theory/Some_Preliminary_Remarks_on_Two-Dimensional_Random_Variables
}}
}}


[[File:P_ID2749__Inf_A_3_1.png|right|]]
[[File:P_ID2749__Inf_A_3_1.png|right|frame|Sum  $S= R + B$  of two dice]]
Wir betrachten das Zufallsexperiment „Würfeln mit ein oder zwei Würfeln”. Beide Würfel sind fair (die sechs möglichen Ergebnisse sind gleichwahrscheinlich) und durch ihre Farben unterscheidbar:
We consider the random experiment  »rolling one or two dice«.  Both dice are fair (the six possible outcomes are equally probable) and distinguishable by their colors:
* The random quantity  $R = \{1, \ 2,\ 3,\ 4,\ 5,\ 6 \}$  denotes the number of eyes of the red cube.
* The random quantity  $B = \{1,\ 2,\ 3,\ 4,\ 5,\ 6 \}$  denotes the number of eyes of the blue cube.
* The random quantity  $S =R + B$  stands for the sum of both dice.


:* Die Zufallsgröße <i>R</i> = {1, 2, 3, 4, 5, 6} bezeichnet die Augenzahl des roten Würfels.


:* Die Zufallsgröße <i>B</i> = {1, 2, 3, 4, 5, 6} bezeichnet die Augenzahl des blauen Würfels.
In this exercise different probabilities are to be computed with reference to the random variables&nbsp; $R$,&nbsp; $B$&nbsp; and&nbsp; $S$,&nbsp; <br>whereby the scheme indicated above can be helpful.&nbsp; This includes the sum&nbsp; $S$&nbsp; as a function of&nbsp; $R$&nbsp; and&nbsp; $B$.


:* Die Zufallsgröße <i>S</i> = <i>R</i> + <i>B</i> steht für die Summe beider Würfel.


In dieser Aufgabe sollen verschiedene Wahrscheinlichkeiten mit Bezug zu den Zufallsgrößen <i>R</i>, <i>B</i> und <i>S</i> berechnet werden, wobei das oben angegebene Schema hilfreich sein kann. Dieses beinhaltet die Summe <i>S</i> in Abhängigkeit von <i>R</i> und <i>B</i>.


<b>Hinweis:</b>  Die Aufgabe dient zur Vorbereitung für weitere Aufgaben zum Kapitel 3.1 dieses Buches &bdquo;Einführung in die Informationstheorie&rdquo;. Wiederholt wird hier insbesondere der Lehrstoff von Kapitel 1.1 und Kapitel 1.3 des Buches &bdquo;Stochastische Signaltheorie&rdquo;.




===Fragebogen===
 
 
 
 
Hints:
*The exercise belongs to the chapter&nbsp; [[Information_Theory/Einige_Vorbemerkungen_zu_zweidimensionalen_Zufallsgrößen|Some preliminary remarks on 2D random variables]].
*In particular, the subject matter of the chapter&nbsp;  [[Theory_of_Stochastic_Signals/Einige_grundlegende_Definitionen|Probability Calculation]]&nbsp; in the book "Theory of Stochastic Signals"&nbsp; is repeated here.
 
 
 
 
===Questions===


<quiz display=simple>
<quiz display=simple>
{Geben Sie die folgenden Wahrscheinlichkeiten an:
{Give the following probabilities:
|type="{}"}
|type="{}"}
$Pr(R = 6)$ = { 0.1667 3% }
$\text{Pr}(R = 6)\ = \ $ { 0.1667 3% }
$Pr(B ≤ 2)$ = { 0.3333 3% }
$\text{Pr}(B ≤ 2)\ = \ $ { 0.3333 3% }
$Pr(R = B)$ = { 0.1667 3% }
$\text{Pr}(R = B)\ = \ $ { 0.1667 3% }




{Wie lauten die folgenden Wahrscheinlichkeiten?
{What are the following probabilities?
|type="{}"}
|type="{}"}
$Pr(S = 6)$ = { 0.0556 3% }
$\text{Pr}(S = 3)\ = \ $ { 0.0556 3% }
$Pr(S = 7)$ = { 0.1667 3% }
$\text{Pr}(S = 7)\ = \ $ { 0.1667 3% }
Pr(S ist ungeradzahlig) = { 0.5 3% }
$\text{Pr(odd sum)}\ = \ $  { 0.5 3% }




{Geben Sie die folgenden Wahrscheinlichkeiten an:
{State the following probabilities:
|type="{}"}
|type="{}"}
$Pr[(R = 6)\ \cup \ (B =6)]$ = { 0.3056 3% }
$\text{Pr}\big [(R = 6)\ \cup \ (B =6)\big]\ = \ $ { 0.3056 3% }
$Pr[(R = 6)\ \cap \ (B =6)]$ = { 0.0278 3% }
$\text{Pr}\big[(R = 6)\ \cap \ (B =6)\big]\ = \ $ { 0.0278 3% }




{Wie groß ist die Wahrscheinlichkeit, dass beim <i>L</i>&ndash;ten Doppelwurf zum ersten Mal eine &bdquo;6&rdquo; dabei ist?
{What is the probability that the first&nbsp; "6"&nbsp; will be on the&nbsp; $L$&ndash;th double roll?
|type="{}"}
|type="{}"}
Pr(erste „6” beim 1. WUrf) = { 0.3056 3% } $(L=1)$
$L = 1\text{:}\hspace{0.5cm}\text{Pr(first „6”)} \ = \ $ { 0.3056 3% }  
Pr(erste „6” beim 2. WUrf) = { 0.2122 3% } $(L=2)$
$L = 2\text{:}\hspace{0.5cm}\text{Pr(first „6”)} \ = \ $ { 0.2122 3% }  
Pr(erste „6” beim 3. WUrf) = { 0.1474 3% } $(L=3)$
$L = 3\text{:}\hspace{0.5cm}\text{Pr(first „6”)} \ = \ $ { 0.1474 3% }  




{Wie groß ist die Wahrscheinlichkeit &bdquo;Um die erste &bdquo;6&rdquo; zu erhalten, benötigt man eine geradzahlige Anzahl an Doppelwürfen&rdquo;? Mit der Nomenklatur gemäß (d):
{What is the probability of the event&nbsp; &raquo;You need an even number of double rolls, to get the first "6"&laquo;&nbsp; ? <br>Using the nomenclature given in subtask&nbsp; '''(4)''':
|type="{}"}
|type="{}"}
Pr(L ist geradzahlig) = { 0.4098 3% }
$\text{Pr(}L\text{ is even | first „6”)}\ = \ $ { 0.4098 3% }


</quiz>
</quiz>


===Musterlösung===
===Solution===
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<b>1.</b>&nbsp;&nbsp;Setzt man faire Würfel voraus, so ergibt sich für die Wahrscheinlichkeit, dass
'''(1)'''&nbsp; Assuming fair dice, the probability that
 
a&nbsp; "6"&nbsp; is rolled with the red die:
:* mit dem roten Würfel eine &bdquo;6&rdquo; geworfen wird:
:$$\underline{{\rm Pr}(R=6) = 1/6} = 0.1667 \hspace{0.05cm},$$
:$$\underline{{\rm Pr}(R=6) = 1/6} = 0.1667 \hspace{0.05cm},$$
:* mit dem blauen Würfel eine &bdquo;1&rdquo; oder eine &bdquo;2&rdquo; geworfen wird:
* that a&nbsp; "1"&nbsp; or a&nbsp; "2"&nbsp; is rolled with the blue die:
:$$\underline{{\rm Pr}(B\le 2) = 1/3} = 0.3333 \hspace{0.05cm},$$
:$$\underline{{\rm Pr}(B\le 2) = 1/3} = 0.3333 \hspace{0.05cm},$$
:* beide Würfel die gleiche Augenzahl anzeigen:
* that both dice show the same number of points:
:$$\underline{{\rm Pr}(R=B) = 6/36} = 0.1667 \hspace{0.05cm}.$$
:$$\underline{{\rm Pr}(R=B) = 6/36} = 0.1667 \hspace{0.05cm}.$$


Letzteres basiert auf der 2D&ndash;Darstellung auf dem Augenblatt sowie auf der Klassischen Definition der Wahrscheinlichkeit entsprechend <i>K</i>/<i>M</i>, wobei <i>K</i> = 6 der insgesamt <i>M</i> = 36 gleichwahrscheinlichen Elementarereignisse &bdquo;<i>R</i> &#8745; <i>B</i>&rdquo; dem hieraus abgeleiteten Ereignis &bdquo;<i>R</i> = <i>B</i>&rdquo; zugeordnet werden können, die auf der Diagonalen liegen. Würfelspieler sprechen in diesem Fall von einem Pasch.
The latter is based on the 2D representation on the specification sheet and on the "Classical Definition of Probability" corresponding to&nbsp; $K/M$:
*$K = 6$&nbsp; of the total&nbsp; $M = 36$&nbsp; equally probable elementary events&nbsp; $R \cap B$&nbsp; can be assigned to the event&nbsp; $R=B$&nbsp; derived from this.
*These lie on the diagonal.&nbsp; Dice players speak in this case of a&nbsp; "double".


<b>2.</b>&nbsp;&nbsp;Die Lösung basiert wieder auf  der Klassischen Definition der Wahrscheinlichkeit:


:* In <i>K</i> = 2 der <i>M</i> = 36 Elementarfelder steht eine &bdquo;3&rdquo;: <u>Pr(<i>S</i> = 3) = 2/36</u> = 0.0556.


:* In <i>K</i> = 6 der <i>M</i> = 36 Elementarfelder  steht eine &bdquo;7&rdquo;: <u>Pr(<i>S</i> = 7) = 6/36</u> = 0.1667.
'''(2)'''&nbsp; The solution is again based on the Classical Definition of Probability:
* In&nbsp; $K = 2$&nbsp; of the&nbsp; $M = 36$&nbsp; elementary fields there is a&nbsp; "3" &nbsp; &#8658; &nbsp; ${\rm Pr}(S = 3) = 2/36\hspace{0.15cm}\underline{ = 0.0556}.$
* In&nbsp; $K = 6$&nbsp; of the&nbsp; $M = 36$&nbsp; elementary fields there is a&nbsp; "7"&nbsp; &#8658; &nbsp; ${\rm Pr}(S = 7) = 6/36\hspace{0.15cm}\underline{ = 0.1667}.$
* In&nbsp; $K = 18$&nbsp; of the&nbsp; $M = 36$&nbsp; fields there is an odd number &nbsp; &#8658; &nbsp; ${\rm Pr}(S\text{ is odd}) = 18/36\hspace{0.15cm}\underline{ = 0.5}.$


:* In <i>K</i> = 18 der <i>M</i> = 36 Felder steht eine ungerade Zahl &#8658; <u>Pr(<i>S</i> ist ungerade) = 18/36</u></u> = 0.5.


Dieses letzte Ergebnis könnte man auch auf anderem Wege erhalten:
*This last result could be obtained in another way:
:$${\rm Pr}(S\hspace{0.15cm}{\rm ist \hspace{0.15cm} ungerade}) =$$
:$${\rm Pr}(S\hspace{0.15cm}{\rm is \hspace{0.15cm} odd}) ={\rm Pr}\big [(R\hspace{0.12cm}{\rm is \hspace{0.15cm} odd}) \cap(B\hspace{0.12cm}{\rm is\hspace{0.12cm} even}) \big  ] +{\rm Pr}\big [(R\hspace{0.12cm}{\rm is\hspace{0.12cm} even}) \cap(B\hspace{0.12cm}{\rm is\hspace{0.12cm} odd})\big  ]\hspace{0.05cm}. $$
:$$= {\rm Pr}\big [(R\hspace{0.12cm}{\rm ist\hspace{0.12cm} ungerade}) \cap
*With&nbsp; ${\rm Pr}(R\hspace{0.12cm}{\rm is\hspace{0.12cm} even}) = {\rm Pr} (R\hspace{0.12cm}{\rm is\hspace{0.12cm} odd}) = {\rm Pr}(B\hspace{0.12cm}{\rm is\hspace{0.12cm} even})= {\rm Pr}(B\hspace{0.12cm}{\rm is\hspace{0.12cm} odd})   = 1/2$&nbsp; it also follows:
(B\hspace{0.12cm}{\rm ist\hspace{0.12cm} gerade}) \big  ] +
:$${\rm Pr}(S\hspace{0.15cm}{\rm is \hspace{0.15cm} odd}) = 1/2 \cdot  1/2 +  1/2 \cdot  1/2 = 1/2 \hspace{0.05cm}.$$
{\rm Pr}\big [(R\hspace{0.12cm}{\rm ist\hspace{0.12cm} gerade}) \cap
(B\hspace{0.12cm}{\rm ist\hspace{0.12cm} ungerade})\big  ]\hspace{0.05cm}. $$
Mit Pr(<i>R</i> gerade) = Pr(<i>R</i> ungerade) = Pr(<i>B</i> gerade) = Pr(<i>B</i> ungerade) = 1/2 folgt daraus ebenfalls:
:$${\rm Pr}(S\hspace{0.15cm}{\rm ist \hspace{0.15cm} ungerade}) = 1/2 \cdot  1/2 +  1/2 \cdot  1/2 = 1/2 \hspace{0.05cm}.$$


<b>3.</b>&nbsp;&nbsp;Die Wahrscheinlichkeit für das Ereignis, dass mindestens einer der beiden Würfel eine &bdquo;6&rdquo; zeigt, ist:
:$${\rm Pr}\big [(R= 6) \cup (B= 6) \big ] = K/M = 11/36 \hspace{0.15cm} \underline{= 0.3056}
\hspace{0.05cm}.$$
Die zweite Wahrscheinlichkeit steht für den &bdquo;Sechser&ndash;Pasch&rdquo;:
:$${\rm Pr}\big [(R= 6) \cap (B= 6) \big ] = K/M = 1/36 \hspace{0.15cm} \underline{= 0.0278}
\hspace{0.05cm}.$$


<b>4.</b>&nbsp;&nbsp;Das Ergebnis für <i>L</i> = 1 wurde bereits in der Teilaufgabe (3) ermittelt:
 
'''(3)'''&nbsp; The probability for the event that at least one of the two dice shows a&nbsp; "6" is:
:$${\rm Pr}\big [(R= 6) \cup (B= 6) \big ] = K/M = 11/36 \hspace{0.15cm} \underline{= 0.3056}\hspace{0.05cm}.$$
*The second probability stands alone for the&nbsp; "double sixes":
:$${\rm Pr}\big [(R= 6) \cap (B= 6) \big ] = K/M = 1/36 \hspace{0.15cm} \underline{= 0.0278}\hspace{0.05cm}.$$
 
 
 
'''(4)'''&nbsp; The result for&nbsp; $L = 1$&nbsp; has already been determined in subtask&nbsp; '''(3)'''&nbsp;:
:$$p_1 = {\rm Pr}\big [(R= 6) \cup (B= 6) \big ]  = {11}/{36} \hspace{0.15cm} \underline{= 0.3056} \hspace{0.05cm}.$$
:$$p_1 = {\rm Pr}\big [(R= 6) \cup (B= 6) \big ]  = {11}/{36} \hspace{0.15cm} \underline{= 0.3056} \hspace{0.05cm}.$$
Die Wahrscheinlichkeit <i>p</i><sub>2</sub> lässt sich mit <i>p</i><sub>1</sub> wie folgt ausdrücken:
*The probability&nbsp; $p_2$&nbsp; can be expressed with&nbsp; $p_1$&nbsp; as follows:
:$$p_2 = (1 - p_1) \cdot p_1 = \frac{25}{36} \cdot \frac{11}{36} \hspace{0.15cm} \underline{= 0.2122} \hspace{0.05cm}. $$
:$$p_2 = (1 - p_1) \cdot p_1 = \frac{25}{36} \cdot \frac{11}{36} \hspace{0.15cm} \underline{= 0.2122} \hspace{0.05cm}. $$
In anderen Worten: Die Wahrscheinlichkeit, dass im zweiten Wurf erstmals eine &bdquo;6&rdquo; geworfen wird, ist gleich der Wahrscheinlichkeit, dass im ersten Wurf keine &bdquo;6&rdquo; geworfen wurde &#8658; Wahrscheinlichkeit (1&nbsp;&ndash;&nbsp;<i>p</i><sub>1</sub>), aber im zweiten Wurf mindestens eine &bdquo;6&rdquo; dabei ist &nbsp;&#8658;&nbsp; Wahrscheinlichkeit <i>p</i><sub>1</sub>. Entsprechend gilt für die Wahrscheinlichkeit &bdquo;erste 6 im dritten Wurf&rdquo;:
:In words, the probability that a&nbsp; "6"&nbsp; is rolled for the first time in the second roll is equal to the probability that no&nbsp; "6"&nbsp; was rolled in the first roll &nbsp; &#8658; &nbsp; probability&nbsp; $1-p_1$, but there is at least one&nbsp; "6"&nbsp; in the second roll &nbsp; &#8658; &nbsp; probability&nbsp; $p_1$.
 
*Correspondingly, for the probability "first 6 in the third throw":
:$$p_3 = (1 - p_1)^2 \cdot p_1 = \frac{25}{36} \cdot \frac{25}{36} \cdot\frac{11}{36} \hspace{0.15cm} \underline{= 0.1474} \hspace{0.05cm}.$$
:$$p_3 = (1 - p_1)^2 \cdot p_1 = \frac{25}{36} \cdot \frac{25}{36} \cdot\frac{11}{36} \hspace{0.15cm} \underline{= 0.1474} \hspace{0.05cm}.$$


<b>5.</b>&nbsp;&nbsp;Durch Erweiterung der Musterlösung zur Teilaufgabe (d) erhält man:
 
:$${\rm Pr}(L\hspace{0.15cm}{\rm ist\hspace{0.15cm} geradzahlig})
 
\hspace{0.15cm} = \hspace{0.15cm} p_2 + p_4 + p_6 + ... = \\
'''(5)'''&nbsp; By extending the sample solution to subtask&nbsp; '''(4)'''&nbsp;, we obtain:
\hspace{0.15cm}(1 - p_1) \cdot p_1 + (1 - p_1)^3 \cdot p_1 + (1 - p_1)^5 \cdot p_1 + ...
:$$\text{Pr(}L\text{ is even | first „6”)}\ =p_2 \hspace{-0.05cm}+ \hspace{-0.05cm}p_4  \hspace{-0.05cm}+ \hspace{-0.05cm} p_6 \hspace{-0.05cm}+ \hspace{-0.05cm} \text{...} =(1 \hspace{-0.05cm}- \hspace{-0.05cm} p_1) \cdot p_1 \hspace{-0.05cm}+ \hspace{-0.05cm} (1 \hspace{-0.05cm}- \hspace{-0.05cm} p_1)^3 \cdot p_1 \hspace{-0.05cm}+ \hspace{-0.05cm}(1 \hspace{-0.05cm}- \hspace{-0.05cm} p_1)^5 \cdot p_1 \hspace{-0.05cm}+ \hspace{-0.05cm} \text{...}= (1 \hspace{-0.05cm}- \hspace{-0.05cm} p_1) \cdot p_1 \cdot \left [ 1 \hspace{-0.05cm}+ \hspace{-0.05cm} (1 \hspace{-0.05cm}- \hspace{-0.05cm} p_1)^2 \hspace{-0.05cm}+ \hspace{-0.05cm} (1 \hspace{-0.05cm}- \hspace{-0.05cm} p_1)^4 +\text{...}\hspace{0.05cm} \right ]\hspace{0.05cm}. $$
= \\
*Accordingly, we obtain for the probability of the complementary event:
\hspace{0.15cm}(1 - p_1) \cdot p_1 \cdot \left [ 1 + (1 - p_1)^2 + (1 - p_1)^4 + ... \hspace{0.15cm} \right ]
:$${\rm Pr}(L\text{ is odd | first „6”)}= p_1 + p_3 + p_5 + \text{...} = p_1 \cdot \left [ 1 + (1 - p_1)^2 + (1 - p_1)^4 + \text{...} \hspace{0.15cm} \right ]\hspace{0.05cm}\hspace{0.3cm}\Rightarrow \hspace{0.3cm} \frac{{\rm Pr}(L\text{ is odd | first „6”)}) } {{\rm Pr}(L\text{ is even | first „6”)})} = \frac{1}{1 - p_1} \hspace{0.05cm}. $$
\hspace{0.05cm}. $$
 
Entsprechend erhält man für die Wahrscheinlichkeit des Komplementärereignisses:
*Further, must hold::
:$${\rm Pr}(L\hspace{0.15cm}{\rm ist\hspace{0.15cm} ungeradzahlig})  
:$${\rm Pr}(L \text{ is even | first „6”)}  +{\rm Pr}(L \text{ is odd | first „6”)}  = 1$$
\hspace{0.15cm} = \hspace{0.15cm} p_1 + p_3 + p_5 + ... = \\
:$$\Rightarrow \hspace{0.3cm} {\rm Pr}(L \text{ is even | first „6”)}  \cdot \left [ 1 + \frac{1}{1 - p_1} \right ] = 1  \hspace{0.3cm} \Rightarrow \hspace{0.3cm} {\rm Pr}(L\hspace{0.15cm}{\rm is\hspace{0.15cm} even})  = \frac{1 - p_1}{2 - p_1} = \frac{25/36}{61/36} =  \frac{25}{61} \hspace{0.15cm} \underline{= 0.4098} \hspace{0.05cm}.$$
=  \hspace{0.15cm} p_1 \cdot \left [ 1 + (1 - p_1)^2 + (1 - p_1)^4 + ... \hspace{0.15cm} \right ]
\hspace{0.05cm}$$
:$$\Rightarrow \hspace{0.3cm} \frac{{\rm Pr}(L\hspace{0.15cm}{\rm ist\hspace{0.15cm} ungeradzahlig}) } {{\rm Pr}(L\hspace{0.15cm}{\rm ist\hspace{0.15cm} geradzahlig})} = \frac{1}{1 - p_1} \hspace{0.05cm}. $$
Weiter muss gelten:
:$${\rm Pr}(L\hspace{0.15cm}{\rm ist\hspace{0.15cm} geradzahlig})   +  
{\rm Pr}(L\hspace{0.15cm}{\rm ist\hspace{0.15cm} ungeradzahlig}) = 1$$
:$$\Rightarrow \hspace{0.3cm} {\rm Pr}(L\hspace{0.15cm}{\rm ist\hspace{0.15cm} geradzahlig})   \cdot \left [ 1 + \frac{1}{1 - p_1} \right ] = 1  $$
:$$\Rightarrow \hspace{0.3cm} {\rm Pr}(L\hspace{0.15cm}{\rm ist\hspace{0.15cm} geradzahlig})  = \frac{1 - p_1}{2 - p_1} = \frac{25/36}{61/36} =  \frac{25}{61} \hspace{0.15cm} \underline{= 0.4098} \hspace{0.05cm}.$$
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[[Category:Aufgaben zu Informationstheorie|^3.1 Vorbemerkungen zu 2D-Zufallsgrößen^]]
[[Category:Information Theory: Exercises|^3.1 General Information on 2D Random Variables^]]
[[de:Aufgaben:Aufgabe 3.1: Wahrscheinlichkeiten beim Würfeln]]

Latest revision as of 17:57, 16 March 2026

Sum  $S= R + B$  of two dice

We consider the random experiment  »rolling one or two dice«.  Both dice are fair (the six possible outcomes are equally probable) and distinguishable by their colors:

  • The random quantity  $R = \{1, \ 2,\ 3,\ 4,\ 5,\ 6 \}$  denotes the number of eyes of the red cube.
  • The random quantity  $B = \{1,\ 2,\ 3,\ 4,\ 5,\ 6 \}$  denotes the number of eyes of the blue cube.
  • The random quantity  $S =R + B$  stands for the sum of both dice.


In this exercise different probabilities are to be computed with reference to the random variables  $R$,  $B$  and  $S$, 
whereby the scheme indicated above can be helpful.  This includes the sum  $S$  as a function of  $R$  and  $B$.





Hints:



Questions

1 Give the following probabilities:

$\text{Pr}(R = 6)\ = \ $
$\text{Pr}(B ≤ 2)\ = \ $
$\text{Pr}(R = B)\ = \ $

2 What are the following probabilities?

$\text{Pr}(S = 3)\ = \ $
$\text{Pr}(S = 7)\ = \ $
$\text{Pr(odd sum)}\ = \ $

3 State the following probabilities:

$\text{Pr}\big [(R = 6)\ \cup \ (B =6)\big]\ = \ $
$\text{Pr}\big[(R = 6)\ \cap \ (B =6)\big]\ = \ $

4 What is the probability that the first  "6"  will be on the  $L$–th double roll?

$L = 1\text{:}\hspace{0.5cm}\text{Pr(first „6”)} \ = \ $
$L = 2\text{:}\hspace{0.5cm}\text{Pr(first „6”)} \ = \ $
$L = 3\text{:}\hspace{0.5cm}\text{Pr(first „6”)} \ = \ $

5 What is the probability of the event  »You need an even number of double rolls, to get the first "6"«  ?
Using the nomenclature given in subtask  (4):

$\text{Pr(}L\text{ is even | first „6”)}\ = \ $


Solution

(1)  Assuming fair dice, the probability that a  "6"  is rolled with the red die:

$$\underline{{\rm Pr}(R=6) = 1/6} = 0.1667 \hspace{0.05cm},$$
  • that a  "1"  or a  "2"  is rolled with the blue die:
$$\underline{{\rm Pr}(B\le 2) = 1/3} = 0.3333 \hspace{0.05cm},$$
  • that both dice show the same number of points:
$$\underline{{\rm Pr}(R=B) = 6/36} = 0.1667 \hspace{0.05cm}.$$

The latter is based on the 2D representation on the specification sheet and on the "Classical Definition of Probability" corresponding to  $K/M$:

  • $K = 6$  of the total  $M = 36$  equally probable elementary events  $R \cap B$  can be assigned to the event  $R=B$  derived from this.
  • These lie on the diagonal.  Dice players speak in this case of a  "double".


(2)  The solution is again based on the Classical Definition of Probability:

  • In  $K = 2$  of the  $M = 36$  elementary fields there is a  "3"   ⇒   ${\rm Pr}(S = 3) = 2/36\hspace{0.15cm}\underline{ = 0.0556}.$
  • In  $K = 6$  of the  $M = 36$  elementary fields there is a  "7"  ⇒   ${\rm Pr}(S = 7) = 6/36\hspace{0.15cm}\underline{ = 0.1667}.$
  • In  $K = 18$  of the  $M = 36$  fields there is an odd number   ⇒   ${\rm Pr}(S\text{ is odd}) = 18/36\hspace{0.15cm}\underline{ = 0.5}.$


  • This last result could be obtained in another way:
$${\rm Pr}(S\hspace{0.15cm}{\rm is \hspace{0.15cm} odd}) ={\rm Pr}\big [(R\hspace{0.12cm}{\rm is \hspace{0.15cm} odd}) \cap(B\hspace{0.12cm}{\rm is\hspace{0.12cm} even}) \big ] +{\rm Pr}\big [(R\hspace{0.12cm}{\rm is\hspace{0.12cm} even}) \cap(B\hspace{0.12cm}{\rm is\hspace{0.12cm} odd})\big ]\hspace{0.05cm}. $$
  • With  ${\rm Pr}(R\hspace{0.12cm}{\rm is\hspace{0.12cm} even}) = {\rm Pr} (R\hspace{0.12cm}{\rm is\hspace{0.12cm} odd}) = {\rm Pr}(B\hspace{0.12cm}{\rm is\hspace{0.12cm} even})= {\rm Pr}(B\hspace{0.12cm}{\rm is\hspace{0.12cm} odd}) = 1/2$  it also follows:
$${\rm Pr}(S\hspace{0.15cm}{\rm is \hspace{0.15cm} odd}) = 1/2 \cdot 1/2 + 1/2 \cdot 1/2 = 1/2 \hspace{0.05cm}.$$


(3)  The probability for the event that at least one of the two dice shows a  "6" is:

$${\rm Pr}\big [(R= 6) \cup (B= 6) \big ] = K/M = 11/36 \hspace{0.15cm} \underline{= 0.3056}\hspace{0.05cm}.$$
  • The second probability stands alone for the  "double sixes":
$${\rm Pr}\big [(R= 6) \cap (B= 6) \big ] = K/M = 1/36 \hspace{0.15cm} \underline{= 0.0278}\hspace{0.05cm}.$$


(4)  The result for  $L = 1$  has already been determined in subtask  (3) :

$$p_1 = {\rm Pr}\big [(R= 6) \cup (B= 6) \big ] = {11}/{36} \hspace{0.15cm} \underline{= 0.3056} \hspace{0.05cm}.$$
  • The probability  $p_2$  can be expressed with  $p_1$  as follows:
$$p_2 = (1 - p_1) \cdot p_1 = \frac{25}{36} \cdot \frac{11}{36} \hspace{0.15cm} \underline{= 0.2122} \hspace{0.05cm}. $$
In words, the probability that a  "6"  is rolled for the first time in the second roll is equal to the probability that no  "6"  was rolled in the first roll   ⇒   probability  $1-p_1$, but there is at least one  "6"  in the second roll   ⇒   probability  $p_1$.
  • Correspondingly, for the probability "first 6 in the third throw":
$$p_3 = (1 - p_1)^2 \cdot p_1 = \frac{25}{36} \cdot \frac{25}{36} \cdot\frac{11}{36} \hspace{0.15cm} \underline{= 0.1474} \hspace{0.05cm}.$$


(5)  By extending the sample solution to subtask  (4) , we obtain:

$$\text{Pr(}L\text{ is even | first „6”)}\ =p_2 \hspace{-0.05cm}+ \hspace{-0.05cm}p_4 \hspace{-0.05cm}+ \hspace{-0.05cm} p_6 \hspace{-0.05cm}+ \hspace{-0.05cm} \text{...} =(1 \hspace{-0.05cm}- \hspace{-0.05cm} p_1) \cdot p_1 \hspace{-0.05cm}+ \hspace{-0.05cm} (1 \hspace{-0.05cm}- \hspace{-0.05cm} p_1)^3 \cdot p_1 \hspace{-0.05cm}+ \hspace{-0.05cm}(1 \hspace{-0.05cm}- \hspace{-0.05cm} p_1)^5 \cdot p_1 \hspace{-0.05cm}+ \hspace{-0.05cm} \text{...}= (1 \hspace{-0.05cm}- \hspace{-0.05cm} p_1) \cdot p_1 \cdot \left [ 1 \hspace{-0.05cm}+ \hspace{-0.05cm} (1 \hspace{-0.05cm}- \hspace{-0.05cm} p_1)^2 \hspace{-0.05cm}+ \hspace{-0.05cm} (1 \hspace{-0.05cm}- \hspace{-0.05cm} p_1)^4 +\text{...}\hspace{0.05cm} \right ]\hspace{0.05cm}. $$
  • Accordingly, we obtain for the probability of the complementary event:
$${\rm Pr}(L\text{ is odd | first „6”)}= p_1 + p_3 + p_5 + \text{...} = p_1 \cdot \left [ 1 + (1 - p_1)^2 + (1 - p_1)^4 + \text{...} \hspace{0.15cm} \right ]\hspace{0.05cm}\hspace{0.3cm}\Rightarrow \hspace{0.3cm} \frac{{\rm Pr}(L\text{ is odd | first „6”)}) } {{\rm Pr}(L\text{ is even | first „6”)})} = \frac{1}{1 - p_1} \hspace{0.05cm}. $$
  • Further, must hold::
$${\rm Pr}(L \text{ is even | first „6”)} +{\rm Pr}(L \text{ is odd | first „6”)} = 1$$
$$\Rightarrow \hspace{0.3cm} {\rm Pr}(L \text{ is even | first „6”)} \cdot \left [ 1 + \frac{1}{1 - p_1} \right ] = 1 \hspace{0.3cm} \Rightarrow \hspace{0.3cm} {\rm Pr}(L\hspace{0.15cm}{\rm is\hspace{0.15cm} even}) = \frac{1 - p_1}{2 - p_1} = \frac{25/36}{61/36} = \frac{25}{61} \hspace{0.15cm} \underline{= 0.4098} \hspace{0.05cm}.$$