We need to verify that all probabilities \( P(x) \) are non-negative. The given probabilities are:
\[
P(0) = 0.02, \quad P(1) = 0.07, \quad P(2) = 0.22, \quad P(3) = 0.27, \quad P(4) = 0.42
\]
Since all values are greater than or equal to \( 0 \), we conclude that:
\[
\text{All } P(x) \geq 0 \quad \text{(True)}
\]
Next, we calculate the sum of the probabilities:
\[
\text{Sum} = P(0) + P(1) + P(2) + P(3) + P(4) = 0.02 + 0.07 + 0.22 + 0.27 + 0.42
\]
Calculating this gives:
\[
\text{Sum} = 0.02 + 0.07 + 0.22 + 0.27 + 0.42 = 1.00
\]
Since the sum equals \( 1 \), we have:
\[
\text{Sum of probabilities} = 1 \quad \text{(True)}
\]
Since both conditions are satisfied (non-negativity and sum equals 1), we conclude that the given probabilities form a valid probability distribution.