To determine the value of \( x \) in the probability model, we need to use the fact that the probabilities should sum to 1. The given probabilities are:
- \( P(Y) = 0.25 \)
- \( P(C) = 0.18 \)
- \( P(A) = 0.30 \)
- \( P(R) = 0.17 \)
- \( P(E) = x \)
- \( P(S) = 1 - (0.25 + 0.18 + 0.30 + 0.17 + x) \) (but we only need the sum of the given probabilities)
First, let's calculate the sum of the known probabilities:
\[ 0.25 + 0.18 + 0.30 + 0.17 = 0.90 \]
Since the total probability must equal 1, we can set up the equation:
\[ 0.90 + x = 1 \]
To find \( x \), subtract 0.90 from both sides:
\[ x = 1 - 0.90 \] \[ x = 0.10 \]
Thus, the value of \( x \) is 0.10.