Let's define variables based on the problem statement. Let the total number of balls be \( N \). The number of each type of ball is: White balls = 0.8\( N \), Blue balls = 0.15\( N \), Red balls = 0.05\( N \). Now, calculate the defective balls:
The conditional probability that a ball is white given it is defective is given as 0.4. Use the formula for conditional probability:
\(P(\text{White} | \text{Defective}) = \frac{P(\text{White and Defective})}{P(\text{Defective})}\)
Using probabilities:
\(\frac{0.8 \alpha / 100}{0.8 \alpha / 100 + 0.15 \times 0.06 + 0.05 \times 0.09} = 0.4\)
After simplifying:
\(\frac{0.8 \alpha / 100}{0.8 \alpha / 100 + 0.009 + 0.0045} = 0.4\)
Multiply both sides by the denominator:
\(0.8 \alpha / 100 = 0.4 \times (0.8 \alpha / 100 + 0.0135)\)
Distribute 0.4:
\(0.8 \alpha / 100 = 0.32 \alpha / 100 + 0.0054\)
Rearrange to find \( \alpha \):
\(0.8 \alpha / 100 - 0.32 \alpha / 100 = 0.0054\)
Simplify:
\(0.48 \alpha / 100 = 0.0054\)
Multiply by 100:
\(0.48 \alpha = 0.54\)
Divide by 0.48:
\(\alpha = \frac{0.54}{0.48} = 1.125\)
Verify the solution falls within the given range: 1.125 is within [1.125, 1.125]. Therefore, \( \alpha \) equals 1.125, satisfying the problem requirements.