
An Unbiased cubic die marked with \[1,2,2,3,3,3,\] is rolled 3 times. The probability of getting a total score of 4 or 6 is
A. \[\dfrac{16}{216}\]
B. \[\dfrac{50}{216}\]
C. \[\dfrac{60}{216}\]
D. None of these
Answer
601.2k+ views
Hint: In general probability of an event (P(E)) can be calculated by formula as given below: $P(E)=\dfrac{Number\,of\,favorable\,outcomes}{Total\,number\,of\,outcomes}$
Also we need to first make possible outcomes for getting sum 4 or 6 and then we can calculate probability for particular cases.
Complete step by step solution:
The numbers marked on the die are \[1,2,2,3,3,3,\]
So the probability of getting the number 1 is \[\dfrac{1}{6}\] since there is only I on the dice.
The probability of getting the number 2 on the dice is \[\dfrac{2}{6}\]since there are two 2s on the dice.
The probability of getting the number 3 on the dice is \[\dfrac{3}{6}\] since there are three 3s on the dice.
The chances of getting the sum 4 when the die I is rolled three times: \[(\text{1 1 2})\]
! now this combination can be arranged in
\[\dfrac{3!}{2!}=3\]ways
We write\[2!\] in the denominator because two numbers are repeated.
The chances of getting 6 when die is rolled 3 times is:
(i). \[(1,2,3)\]
Now this combination can be arranged in \[3!\]ways i.e. 6 ways
(ii). \[(2,2,2)\]
Now this combination can be arranged only in 1 way because all are identical numbers that means \[\dfrac{3!}{3!}=1\]way.
Now the probability of getting sum 4 is
\[\Rightarrow \dfrac{1}{6}\times \dfrac{1}{6}\times \dfrac{2}{6}\times (3)\] ……. 1
The probability of getting sum 6 is
\[\Rightarrow \dfrac{1}{6}\times \dfrac{2}{6}\times \dfrac{3}{6}\times (6)+\dfrac{2}{6}\times \dfrac{2}{6}\times \dfrac{2}{6}\times (1)\] …… 2
The numbers in the bracket denotes the number of ways it can be arranged.
So the total probability is:
Adding 1 and 2
\[\Rightarrow \dfrac{1}{6}\times \dfrac{1}{6}\times \dfrac{2}{6}\times (3)+\dfrac{1}{6}\times \dfrac{2}{6}\times \dfrac{3}{6}\times (6)+\dfrac{2}{6}\times \dfrac{2}{6}\times \dfrac{2}{6}\times (1)\]
\[\Rightarrow \dfrac{50}{216}\]
Note: Along with writing probability we should also mention the number of ways the combination can be arranged and according to that we can calculate the probability of that particular event.
Also we need to first make possible outcomes for getting sum 4 or 6 and then we can calculate probability for particular cases.
Complete step by step solution:
The numbers marked on the die are \[1,2,2,3,3,3,\]
So the probability of getting the number 1 is \[\dfrac{1}{6}\] since there is only I on the dice.
The probability of getting the number 2 on the dice is \[\dfrac{2}{6}\]since there are two 2s on the dice.
The probability of getting the number 3 on the dice is \[\dfrac{3}{6}\] since there are three 3s on the dice.
The chances of getting the sum 4 when the die I is rolled three times: \[(\text{1 1 2})\]
! now this combination can be arranged in
\[\dfrac{3!}{2!}=3\]ways
We write\[2!\] in the denominator because two numbers are repeated.
The chances of getting 6 when die is rolled 3 times is:
(i). \[(1,2,3)\]
Now this combination can be arranged in \[3!\]ways i.e. 6 ways
(ii). \[(2,2,2)\]
Now this combination can be arranged only in 1 way because all are identical numbers that means \[\dfrac{3!}{3!}=1\]way.
Now the probability of getting sum 4 is
\[\Rightarrow \dfrac{1}{6}\times \dfrac{1}{6}\times \dfrac{2}{6}\times (3)\] ……. 1
The probability of getting sum 6 is
\[\Rightarrow \dfrac{1}{6}\times \dfrac{2}{6}\times \dfrac{3}{6}\times (6)+\dfrac{2}{6}\times \dfrac{2}{6}\times \dfrac{2}{6}\times (1)\] …… 2
The numbers in the bracket denotes the number of ways it can be arranged.
So the total probability is:
Adding 1 and 2
\[\Rightarrow \dfrac{1}{6}\times \dfrac{1}{6}\times \dfrac{2}{6}\times (3)+\dfrac{1}{6}\times \dfrac{2}{6}\times \dfrac{3}{6}\times (6)+\dfrac{2}{6}\times \dfrac{2}{6}\times \dfrac{2}{6}\times (1)\]
\[\Rightarrow \dfrac{50}{216}\]
Note: Along with writing probability we should also mention the number of ways the combination can be arranged and according to that we can calculate the probability of that particular event.
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