Given: $M_x(t) = \frac{1}{6} + \frac{1}{3} \exp(t) + \frac{1}{6} \exp(2t) + \frac{1}{3} \exp(3t)$.
What will be $P(X>2)$?
I couldn’t identify this moment generating function.
I guess if I could identify the mgf this will become easier.
Given: $M_x(t) = \frac{1}{6} + \frac{1}{3} \exp(t) + \frac{1}{6} \exp(2t) + \frac{1}{3} \exp(3t)$.
What will be $P(X>2)$?
I couldn’t identify this moment generating function.
I guess if I could identify the mgf this will become easier.
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As @StubbornAtom notes, you can read the probability distribution off viz.$$P(X=0)=\tfrac16,\,P(X=1)=\tfrac13,\,P(X=2)=\tfrac16,\,\color{blue}{P(X=3)=\tfrac13}.$$