Statistics

Let's say we have a coin. How would you determine the p value needed for the coin to be fair?

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Behavioral
  • Let's say we have a coin. How would you determine the p value needed for the coin to be fair?
  • If you were to flip a coin repeatedly, what minimum percentage of times should it land on heads to be considered a fair coin?
  • What would be the minimum score on a statistical test for the coin to be deemed fair?
  • How would you determine the likelihood of flipping a fair coin through a series of tests?
  • At what point would the outcomes of a coin flip become statistically significant enough to determine if the coin is fair?
  • What would be the threshold of deviation from an expected probability of 50% that would disqualify a coin from being considered fair?
  • How many times would you need to flip a coin to determine with confidence if it is a fair coin?
  • What statistical methods would you use to determine the fairness of a coin?
  • How would you calculate the expected frequency of heads and tails on a fair coin to compare to the actual results?
  • What level of probability would you consider indicative of a fair coin?

Interview question asked to Data Scientists interviewing at Waymo, Autodesk, Skyscanner and others: Let's say we have a coin. How would you determine the p value needed for the coin to be fair?.