Answer:
0.03
Step-by-step explanation:
For the purpose of the question we will employ the formulas used in Poisson Distribution
[tex]P(x; u) = \frac{(e^{-u} ) (u^{x} )}{x!}[/tex]
Where
[tex]P[/tex] = Probability
[tex]u[/tex] = Average number of errors
[tex]x[/tex] = Required number of errors
From the given information we can extract the following information
Artist 1
[tex]u_{1}[/tex] = 3
[tex]x_{1}[/tex] = 0
Artist 2
[tex]u_{2}[/tex] = 4.2
[tex]x_{2}[/tex] = 0
Now since this is an OR condition, we find their individual probabilities and add them
[tex]P_{1} (0; 3)*P(Artist 1) = \frac{(e^{-3} ) (3^{0} )}{0!} * \frac{1}{2} = \frac{1}{2}e^-^3 \\ P_{2} (0; 4.2)*P(Artist 2) = \frac{(e^{-4.2} ) (4.2^{0} )}{0!}*\frac{1}{2} = \frac{1}{2} e^-^4^.^2[/tex]
Adding these together
[tex]\frac{1}{2} (e^-^3 + e^-^4^.^2) = 0.03[/tex]