Respuesta :
Answer: Our required probability is 0.83.
Step-by-step explanation:
Since we have given that
Number of dices = 2
Number of fair dice = 1
Probability of getting a fair dice P(E₁) = [tex]\dfrac{1}{2}[/tex]
Number of unfair dice = 1
Probability of getting a unfair dice P(E₂) = [tex]\dfrac{1}{2}[/tex]
Probability of getting a 3 for the fair dice P(A|E₁)= [tex]\dfrac{1}{6}[/tex]
Probability of getting a 3 for the unfair dice P(A|E₂) = [tex]\dfrac{1}{3}[/tex]
So, we need to find the probability that the die he rolled is fair given that the outcome is 3.
So, we will use "Bayes theorem":
[tex]P(E_1|A)=\dfrac{P(E_1)P(A|E_1)}{P(E_1)P(A|E_1)+P(E_2)P(A|E_2)}\\\\(E_1|A)=\dfrac{0.5\times 0.16}{0.5\times 0.16+0.5\times 0.34}\\\\P(E_1|A)=0.83[/tex]
Hence, our required probability is 0.83.