Question:

A coin is tossed three times. Let A be the event of "getting three heads" and B be the event of "getting a head on the first toss". Then A and B are:

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To check if events are independent, calculate the product of their probabilities and compare it with the probability of their intersection.
Updated On: May 23, 2025
  • Dependent events
  • Independent events
  • Impossible events
  • Certain events
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The Correct Option is B

Approach Solution - 1

We are given two events: - Event A: "Getting three heads in three tosses" - Event B: "Getting a head on the first toss" Step 1: Understand the nature of events - Event A occurs only if all three tosses result in heads. So, the probability of A occurring is \( P(A) = \frac{1}{8} \) (since there are 8 possible outcomes from tossing the coin three times, and only one outcome results in three heads). - Event B occurs if the first toss is a head. The probability of B occurring is \( P(B) = \frac{1}{2} \) (since the first toss can either be a head or a tail, and both have equal likelihood). Step 2: Determine if the events are independent Two events A and B are independent if the occurrence of one does not affect the probability of the other. Mathematically, this is defined as: \[ P(A \cap B) = P(A) \times P(B) \] For this case: - \( P(A \cap B) \) is the probability that both A and B occur, i.e., the first toss is a head, and all three tosses result in heads. This is just \( P(A \cap B) = P(A) = \frac{1}{8} \), because if A occurs, then B automatically occurs. - \( P(A) \times P(B) = \frac{1}{8} \times \frac{1}{2} = \frac{1}{16} \) Since \( P(A \cap B) = P(A) \), the events are independent. Thus, the correct answer is option (2), Independent events.
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Approach Solution -2

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.
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