I try to quickly answer the question of whether one should play a game: roll 12 fair dice and sum up the face values; if the sum is less than 30, win 10 dollars, otherwise lose 1 dollar.
Let $S_{12}=\sum\limits_{i=1}^{12} x_i$ be the sum where $x_i$ is the value for the ith die.
I think if the expected gain is greater than 0, we should play the game, and the gain is $$E = 10 \times P(S_{12}<30) - 1\times [1-P(S_{12}< 30)] >0 ?$$
So I tried to quickly calculate or approximate $P(S_{12}<30)$. My way is through CLT, $$\frac{S_{12} - 12E[x_i]}{\sqrt{12 var(x_i)} } \xrightarrow{d} N(0,1)$$ $$\Rightarrow P(S_{12} < 30) \approx p(z < \frac{30-42}{\sqrt{35}}) = \Phi \left( \frac{30-42}{\sqrt{35}} \right) $$
But this approach still seems to require a certain amount of computation. Especially, it requires evaluating the normal cdf $\Phi(z)$.
So I was wondering if there is a better/quicker way without referring to computers/calculators.
Thanks in advance.
Well, your approximation is correct though you can do things in a quicker way without requiring paper. One fact is that the variance of a uniform variable interval of length $L$ is $L^2/12$, so it’s a quick approximation to get that the variance of a die is around $6^2/12=3$. Combining this with a total mean of $12\cdot 7/2$ gives a threshold of $(42-30)/\sqrt{12*3}=2$ standard deviations so $(1-.95)/2=.025$. That is there’s approximately a 2.5% chance of the sum being less than 30.
If it hadn’t luckily been an integer number, you could still approximate the number with linear approximation between 68,95,99.7%, rounding upwards for concavity.