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Data Interview Question

Coin Flip Outcome Probability

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Solution & Explanation

To solve this problem, we need to determine the probability that when flipping a randomly chosen coin twice, both flips result in the same face. We have two coins: a fair coin and a biased coin.

Step 1: Define the Probabilities for Each Coin

  • Fair Coin:

    • Probability of heads (H): 1/2
    • Probability of tails (T): 1/2
  • Biased Coin:

    • Probability of heads (H): 3/4
    • Probability of tails (T): 1/4

Step 2: Calculate Probability of Same Face for Each Coin

  • For the Fair Coin:

    • Probability of two heads (HH): 12×12=14\frac{1}{2} \times \frac{1}{2} = \frac{1}{4}
    • Probability of two tails (TT): 12×12=14\frac{1}{2} \times \frac{1}{2} = \frac{1}{4}
    • Total probability of same face: 14+14=12\frac{1}{4} + \frac{1}{4} = \frac{1}{2}
  • For the Biased Coin:

    • Probability of two heads (HH): 34×34=916\frac{3}{4} \times \frac{3}{4} = \frac{9}{16}
    • Probability of two tails (TT): 14×14=116\frac{1}{4} \times \frac{1}{4} = \frac{1}{16}
    • Total probability of same face: 916+116=1016=58\frac{9}{16} + \frac{1}{16} = \frac{10}{16} = \frac{5}{8}

Step 3: Consider the Probability of Choosing Each Coin

Since the choice of coin is random, each coin has a probability of 1/2 of being chosen.

Step 4: Calculate Overall Probability

  • Probability of same face with fair coin: 12×12=14\frac{1}{2} \times \frac{1}{2} = \frac{1}{4}
  • Probability of same face with biased coin: 12×58=516\frac{1}{2} \times \frac{5}{8} = \frac{5}{16}

Add these probabilities together to find the total probability of the same face:

14+516=416+516=916\frac{1}{4} + \frac{5}{16} = \frac{4}{16} + \frac{5}{16} = \frac{9}{16}

Thus, the probability that both flips result in the same face is 916\frac{9}{16} or 0.5625.