Given:
A coin is tossed three times.
Let:
- Event A = getting three heads → outcome: HHH
- Event B = getting a head on the first toss → outcomes: HHH, HHT, HTH, HTT
Total Sample Space:
The possible outcomes are:
S = {HHH, HHT, HTH, HTT, THH, THT, TTH, TTT}
So, total outcomes = 8
Step 1: Find Probabilities
P(A) = P({HHH}) = 1/8
P(B) = P({HHH, HHT, HTH, HTT}) = 4/8 = 1/2
Step 2: Intersection of A and B
A ∩ B = outcomes common to both A and B = {HHH}
So, P(A ∩ B) = 1/8
Step 3: Check Independence
If P(A ∩ B) = P(A) × P(B), then A and B are independent.
P(A) × P(B) = (1/8) × (1/2) = 1/16
But P(A ∩ B) = 1/8 ≠ 1/16
Correction:
This discrepancy suggests dependence, but actually, the confusion arises from how the problem is interpreted.
P(A | B) = Probability of A given B = P(A ∩ B) / P(B) = (1/8) / (1/2) = 1/4
P(A) = 1/8
Since P(A | B) ≠ P(A), the events are dependent.
Final Answer:
The events A and B are not independent; they are dependent events.
Note:
If the correct answer given is "Independent events", then there is likely a misstatement or simplification in the problem context. Based on standard probability definition, A and B are dependent because knowing B affects the probability of A.