Explanation
This is a binomial probability problem where:
- n = 9 (number of trials/individuals)
- p = 0.6 (probability of survival)
- q = 0.4 (probability of not surviving)
- X = number of survivors
We need to find P(X ≥ 8), which means at least 8 survivors out of 9.
Step 1: Break down the probability
P(X ≥ 8) = P(X = 8) + P(X = 9)
Step 2: Calculate P(X = 8)
Using the binomial formula:
P(X=8)=(89)⋅(0.6)8⋅(0.4)1
P(X=8)=9⋅(0.6)8⋅(0.4)
Step 3: Calculate P(X = 9)
P(X=9)=(99)⋅(0.6)9⋅(0.4)0
P(X=9)=1⋅(0.6)9⋅1
Step 4: Numerical calculation
- (0.6)^8 = 0.01679616
- (0.6)^9 = 0.010077696
P(X = 8) = 9 × 0.01679616 × 0.4 = 9 × 0.006718464 = 0.060466176
P(X = 9) = 0.010077696
P(X ≥ 8) = 0.060466176 + 0.010077696 = 0.070543872 ≈ 0.071
Step 5: Match with options
0.071 rounds to 0.07, which corresponds to option B.
Key points:
- This is a binomial distribution problem
- The events are independent (infection of one person doesn't affect others)
- The trials are identical (same survival probability for each person)
- The calculation uses the binomial probability formula: P(X=x)=(xn)pxqn−x