Question statement: You are handed a dice which is either fair (all outcomes with probability $\frac{1}{6}$) or produces only the outcomes 2, 4, 6, each with probability $\frac{1}{3}$. If you can roll the dice once, what is the probability for you to successfully decide which of the two it is?
My approaches so far:
Probability of picking Fair Dice and Rigged Dice is $\frac{1}{2}$ and $\frac{1}{2}$ respectively.
If you picked up Fair Dice, probability of getting {1, 3, 5} is $\frac{1}{2}\cdot \frac{1}{2}$ = $\frac{1}{4}$ and I since this is the only case in which I will certainly know what dice is decisively, I thought about it as my final answer but I still could not convince myself of that fully as I feel it is disregarding probability of unfair dice. Similarly, probability of getting {2, 4, 6} is $\frac{1}{2}\cdot \frac{1}{2}$ = $\frac{1}{4}$.
If you picked up Rigged Dice, probability of getting {1, 3, 5} is Non existent.Similarly, probability of getting {2, 4, 6} is $\frac{1}{2}\cdot 1$ = $\frac{1}{2}$
I wrote a Python code to simulate it a 1000 times and got probability as 0.25...., but that was more of to get an idea or estimation and I am really unsure about that too because it says in the question what is probability rolling the dice once.
I would appreciate the help very much, I tried searching it around the web but I could not found much accessible content regarding Rigged Dice.
We have to start with a couple of assumptions, without which I don't see how we can make progress.
This is the optimal strategy.
Let
Let's calculate $P(X|Y)$, the probability of the die being a loaded one if an even number shows up.
Clearly, $P(Y|X) = 1$. The loaded die throws up even numbers only.
Also, $P(Y|X^c) = 1/2$
Now, using the law of total probability, we have
$$\begin{align*} P(Y) &= P(X) \cdot P(Y|X) + P(X^c) \cdot P(Y|X^c) \\[0.3cm] &= \frac{1}{2} \cdot 1 + \frac{1}{2} \cdot \frac{1}{2} \\[0.3cm] &= \frac{3}{4} \end{align*}$$
And using the Bayes' theorem,
$$\begin{align*} P(X|Y) &= \frac{P(X) \cdot P(Y|X)}{P(X)} \\[0.3cm] &= \frac{\frac{1}{2} \cdot 1}{\frac{3}{4}} \\[0.3cm] &= \frac{2}{3} \end{align*}$$
Alright, our probability of making the right decision is
$$\begin{align*} P &= \frac{3}{4} \cdot \frac{2}{3} + \frac{1}{3} \cdot 1 \\[0.3cm] &= \frac{3}{4} \end{align*}$$
The first term is our probability of being right when an even number shows up and the second term is that of being right when an odd number shows up.