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Data Interview Question

Heads in Repeated Tosses

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Solution & Explanation

To solve the problem of finding the likelihood of getting heads exactly 5 times out of 6 tosses with a biased coin that shows heads with a probability of 30%, we can use the binomial probability formula. This formula is applicable because:

  1. Fixed Number of Trials (n): We are flipping the coin 6 times.
  2. Two Possible Outcomes: Each flip results in either heads or tails.
  3. Constant Probability of Success (p): The probability of getting heads (success) is constant at 0.3 for each flip.
  4. Independent Trials: Each coin flip is independent of others.

Binomial Probability Formula

The probability of getting exactly k successes (heads) in n trials (flips) is given by the formula:

P(X=k)=(nk)pk(1p)nkP(X = k) = \binom{n}{k} \cdot p^k \cdot (1-p)^{n-k}

Where:

  • nn = number of trials (6)
  • kk = number of successes (5)
  • pp = probability of success on a single trial (0.3)
  • (nk)\binom{n}{k} = nn choose kk = n!k!(nk)!\frac{n!}{k!(n-k)!}

Calculating the Probability

  1. Calculate (nk)\binom{n}{k}:

    • (65)=6!5!1!=6\binom{6}{5} = \frac{6!}{5!1!} = 6
  2. Calculate pkp^k:

    • 0.35=0.002430.3^5 = 0.00243
  3. Calculate (1p)nk(1-p)^{n-k}:

    • (10.3)65=0.71=0.7(1-0.3)^{6-5} = 0.7^1 = 0.7
  4. Combine the Components:

    • P(X=5)=60.002430.7P(X = 5) = 6 \cdot 0.00243 \cdot 0.7
    • P(X=5)=60.001701P(X = 5) = 6 \cdot 0.001701
    • P(X=5)=0.010206P(X = 5) = 0.010206

Conclusion

The probability of getting exactly 5 heads in 6 tosses of a biased coin with a 30% chance of landing on heads is approximately 1.02%. This low probability reflects the difficulty of achieving such an outcome given the bias of the coin towards tails.