P(3 out of 5 dice show a 3)

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Recently, I was running through some complementary counting and casework problems when I found this one.

"Let's say you have 5 fair six sided dice. You roll all of them. What's the probability that at least three of the dice show a 3?"

Here's my thinking:

Ways to get 3 (3s): This is $6 \cdot 6 = 36$. Ways to get 4 (3s): This is just $6$. Ways to get 5 (3s): This is $1$.

Adding this together and dividing by the denominator ($6^6$). This gives us $\frac {43}{7776}$. However, I feel like this is WAAAAAAAAAAAAAAAY to small to be the answer.

Can someone very my thinking (if I'm even right), or can anyone correct me. I'd really love some help!!

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Note that the complement of this is the probability at most two dice out of the five show a three.

Case 1: Two of the dice show a three

There are $\dbinom{5}{2} = 10$ ways of choosing two of the dice, and a probability of $\left ( \dfrac{1}{6} \right )^2 \left ( \dfrac{5}{6} \right )^3 = \dfrac{125}{7776}$ of those two dice being 3s only. Therefore, the probability of this case is $10 \times \dfrac{125}{7776} = \dfrac{1250}{7776}$.

Case 2: One of the dice shows a three

There are $\dbinom{5}{1} = 5$ ways of choosing one of the dice, and a probability of $\left ( \dfrac{1}{6} \right ) \left ( \dfrac{5}{6} \right )^4 = \dfrac{625}{7776}$ of the one dice being a 3. Therefore, the probability of this case is $5 \times \dfrac{625}{7776} = \dfrac{3125}{7776}$.

Case 3: None of the dice show a three

There are $\dbinom{5}{0} = 1$ ways of choosing none of the dice, and a probability of $\left ( \dfrac{1}{6} \right )^0 \left ( \dfrac{5}{6} \right )^5 = \dfrac{3125}{7776}$ of none of the dice being 3s. Therefore, the probability of this case is $1 \times \dfrac{3125}{7776} = \dfrac{3125}{7776}$.

Thus, the total probability of at most two 3s is $\dfrac{1250}{7776} + \dfrac{3125}{7776} + \dfrac{3125}{7776} = \dfrac{7500}{7776} = \dfrac{625}{648}$.

Therefore, the probability there are at least three 3s is $1 - \dfrac{625}{648} = \boxed{\dfrac{23}{648}}$.

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5C3(1/6)^3(5/6)^2= probability of getting three 3s out of five rolls.

5C4(1/6)^4(5/6)^1= probability of getting four 4s out of five rolls.

5C5(1/6)^5(5/6)^0= probability of getting all 3s.

According to the addition rule for probability, you can just add these and get the answer you want.

The way I solved is by using a formula called the binomial distribution.

nCr*(p^r)*(1-p)^(n-r)

Where r= total number of successes P= probability of a success on an individual trial n= number of trial

I thought this way is easier than counting all the probabilities.

Hope this helps! ^^