Hard Random Variables Interview Questions
These are the random variables questions that separate candidates who know the technique from those who can apply it under pressure.
30 questions, all free to practise.
- A half-plane, given positiveHardProbabilityRandom VariablesView →
- A small sub-triangleHardProbabilityRandom VariablesView →
- A three-way race to the first headHardProbabilityRandom VariablesView →
- Best-of-seven underdogHardProbabilityRandom VariablesView →
- Correlation of min and maxHardProbabilityRandom VariablesView →
- Counting fives before a four and a sixHardProbabilityRandom VariablesView →
- Covariance of X with Y squaredHardRandom VariablesStatisticsView →
- Covariance with a lognormal childHardConditional Probability & ExpectationRandom VariablesView →
- Draws to beat a hidden uniformHardRandom VariablesExpected ValueView →
- Draws to pass a log thresholdHardProbabilityRandom VariablesView →
- Draws to pass twoHardProbabilityRandom VariablesView →
- HTH before HHTHardProbabilityRandom VariablesView →
- Order statistics are BetaHardRandom VariablesStatisticsView →
- Overshoot past oneHardProbabilityRandom VariablesView →
- Penalty kicks with a shifting rateHardProbabilityRandom VariablesView →
- Range beats the midpointHardProbabilityRandom VariablesView →
- Ratio of two normalsHardRandom VariablesStatisticsView →
- Shortest of three piecesHardProbabilityRandom VariablesView →
- Six pieces, none past a halfHardProbabilityRandom VariablesView →
- Smallest possible MGF valueHardRandom VariablesStatisticsView →
- Spread of a lognormal raised to the fourthHardRandom VariablesStatisticsView →
- Spread of a multinomial count gapHardRandom VariablesStatisticsView →
- The decreasing run of uniformsHardRandom VariablesExpected ValueView →
- Three first-heads in non-decreasing orderHardProbabilityRandom VariablesView →
- Two random segments overlappingHardProbabilityRandom VariablesView →
- Uniforms summing past 1HardRandom VariablesExpected ValueView →
- Variance of the exponential of a gammaHardRandom VariablesStatisticsView →
- Variance under random parametersHardRandom VariablesStatisticsView →
- When a uniform ratio rounds to a squareHardProbabilityRandom VariablesView →
- When the extremes sum above oneHardProbabilityRandom VariablesView →
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