Q.11 Consider an unfair coin. The probability of getting heads is 0.6. If you toss this coin twice, what is the probability that the first or the second toss is heads? (A) 0.56 (B) 0.64 (C) 0.84 (D) 0.96

Q.11 Consider an unfair coin. The probability of getting heads is 0.6. If you toss this coin twice,
what is the probability that the first or the second toss is heads?

(A) 0.56
(B) 0.64 (C) 0.84 (D) 0.96

Unfair coin probability problems test understanding of independent events and the union of outcomes. With P(heads) = 0.6 per toss, the probability of at least one heads in two tosses is calculated using complementary counting.

Solution Method

The event “first or second toss is heads” means at least one heads (HH, HT, TH). Tosses are independent, so P(H) = 0.6 and P(T) = 0.4 each time.

Easiest approach: 1 – P(no heads) = 1 – P(TT) = 1 – (0.4 × 0.4) = 1 – 0.16 = 0.84.

Direct calculation: P(HH) + P(HT) + P(TH) = (0.6²) + (0.6×0.4) + (0.4×0.6) = 0.36 + 0.24 + 0.24 = 0.84.

Option Analysis

  • (A) 0.56 equals 0.6 + 0.4 – (0.6×0.4) = 0.76? No, ignores double-counting correctly but wrong arithmetic; actually 0.6 + 0.4 – 0.24 = 0.76, still incorrect.
  • (B) 0.64 equals 0.6 + 0.4 – 0.6 = wrong inclusion-exclusion; or (0.8)², as if P(H or T first) wrongly reapplied.
  • (C) 0.84 is correct, as shown above.
  • (D) 0.96 equals (0.6 + 0.4)² or 1 – (0.2)², overestimates by ignoring true P(T).

Probability Calculation

Sample space: HH, HT, TH, TT (each toss independent).

P(TT) = 0.4 × 0.4 = 0.16.

P(first or second heads) = 1 – 0.16 = 0.84.

Why Options Fail

Option Value Common Mistake
(A) 0.56 Wrong: Pboth tails miscalc or 0.6×0.4×2 – overlap error
(B) 0.64 Wrong: (0.6+0.4)×0.4 or P(exactly one) underextimate
(C) 0.84 Correct: 1 – P(TT)
(D) 0.96 Wrong: 1 – (0.2)^2, wrong P(T)
Correct answer: (C) 0.84. Use for biotech stats like mutation rates.

 

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