In a probability model, the sum of all probabilities must equal 1. Given the probabilities for Y, C, A, R, and S, we have:
- P(Y) = 0.25
- P(C) = 0.18
- P(A) = 0.30
- P(R) = 0.17
- P(E) = x
We can set up the equation based on the fact that the total probability must equal 1:
\[ P(Y) + P(C) + P(A) + P(R) + P(E) = 1 \]
Substituting in the values we have:
\[ 0.25 + 0.18 + 0.30 + 0.17 + x = 1 \]
Calculating the sum of known probabilities:
\[ 0.25 + 0.18 + 0.30 + 0.17 = 0.90 \]
Now substitute this back into the equation:
\[ 0.90 + x = 1 \]
To solve for x, subtract 0.90 from both sides:
\[ x = 1 - 0.90 \]
\[ x = 0.10 \]
The value of \( x \) is 0.10.