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Statistics Question of the Day

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Friday, October 23, 2026

A fair coin is flipped 3 times. The sample space consists of the 8 equally likely sequences (e.g., HHT, TTT). Define the random variable XX as the number of heads minus the number of tails in the 3 flips. (For example, HHT gives X=1X=1 because 2−1=12-1=1.) Which table correctly represents the theoretical probability distribution of XX?

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Question of the Day

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A fair coin is flipped 3 times. The sample space consists of the 8 equally likely sequences (e.g., HHT, TTT). Define the random variable XX as the number of heads minus the number of tails in the 3 flips. (For example, HHT gives X=1X=1 because 2−1=12-1=1.) Which table correctly represents the theoretical probability distribution of XX?

  1. P(X=−3)=18, P(X=−1)=38, P(X=1)=38, P(X=3)=18P(X=-3)=\dfrac{1}{8},\ P(X=-1)=\dfrac{3}{8},\ P(X=1)=\dfrac{3}{8},\ P(X=3)=\dfrac{1}{8} (correct answer)
  2. P(X=−3)=14, P(X=−1)=14, P(X=1)=14, P(X=3)=14P(X=-3)=\dfrac{1}{4},\ P(X=-1)=\dfrac{1}{4},\ P(X=1)=\dfrac{1}{4},\ P(X=3)=\dfrac{1}{4}
  3. P(X=−3)=18, P(X=−1)=38, P(X=1)=18, P(X=3)=38P(X=-3)=\dfrac{1}{8},\ P(X=-1)=\dfrac{3}{8},\ P(X=1)=\dfrac{1}{8},\ P(X=3)=\dfrac{3}{8}
  4. P(HHH)=18, P(HHT)=18, P(HTH)=18,…P(\text{HHH})=\dfrac{1}{8},\ P(\text{HHT})=\dfrac{1}{8},\ P(\text{HTH})=\dfrac{1}{8},\ldots

Explanation: This problem involves finding the theoretical probability distribution of X = (number of heads) - (number of tails) when flipping a fair coin 3 times. The sample space contains 8 equally likely sequences, each with probability 1/8. To find X for each outcome, we count heads minus tails: HHH gives X = 3-0 = 3, HHT gives X = 2-1 = 1, HTH gives X = 2-1 = 1, HTT gives X = 1-2 = -1, THH gives X = 2-1 = 1, THT gives X = 1-2 = -1, TTH gives X = 1-2 = -1, and TTT gives X = 0-3 = -3. To find P(X = x), we count how many outcomes map to each x-value: P(X = -3) = 1/8 (only TTT), P(X = -1) = 3/8 (HTT, THT, TTH), P(X = 1) = 3/8 (HHT, HTH, THH), and P(X = 3) = 1/8 (only HHH). A common misconception is thinking the X-values themselves are equally likely, when in fact we must count how many coin sequences produce each X-value.