Medium Random Variables Interview Questions
Medium is where most real interview questions sit. This is the random variables set worth spending the most time in.
69 questions, all free to practise.
- A convexity gap by JensenMediumRandom VariablesExpected ValueView →
- A difference of three normalsMediumRandom VariablesStatisticsView →
- A divergent reciprocal expectationMediumRandom VariablesCalculusView →
- A low medianMediumProbabilityRandom VariablesView →
- A ratio of gamma valuesMediumRandom VariablesView →
- All six faces (coupon collector)MediumRandom VariablesExpected ValueView →
- At least two sixes in five rollsMediumProbabilityRandom VariablesView →
- Backing out a correlationMediumRandom VariablesStatisticsView →
- Best linear blend of two estimatesMediumRandom VariablesStatisticsView →
- Conditional mean on a circleMediumConditional Probability & ExpectationRandom VariablesView →
- Correlation of overlapping sumsMediumRandom VariablesStatisticsView →
- Covariance from a triangular densityMediumRandom VariablesStatisticsView →
- Covariance of sum and differenceMediumRandom VariablesStatisticsView →
- Density of a sum of two uniformsMediumProbabilityRandom VariablesView →
- Density of a uniform squaredMediumRandom VariablesCalculusView →
- Expectation as a sum of tailsMediumRandom VariablesExpected ValueView →
- Expectation of e raised to a normalMediumRandom VariablesExpected ValueView →
- Expectation of −2 ln UMediumRandom VariablesCalculusView →
- Expected flips for HHMediumRandom VariablesExpected ValueView →
- Expected gap between two normalsMediumRandom VariablesView →
- Expected maximum of three diceMediumRandom VariablesExpected ValueView →
- Expected maximum of two diceMediumRandom VariablesExpected ValueView →
- Expected minimum of two diceMediumRandom VariablesExpected ValueView →
- Expected square of a random unit complex numberMediumProbabilityRandom VariablesView →
- First head strictly soonerMediumProbabilityRandom VariablesView →
- Four fives before the first sixMediumProbabilityRandom VariablesView →
- Four times as long to the first headMediumProbabilityRandom VariablesView →
- Fourth moment of a shifted normalMediumProbabilityRandom VariablesView →
- How many trials to poll a proportionMediumRandom VariablesStatisticsView →
- Matching floors of a logarithmMediumProbabilityRandom VariablesView →
- Maximum variance on an intervalMediumRandom VariablesStatisticsView →
- Mean over variance of a nested uniformMediumProbabilityRandom VariablesView →
- Median of a linear densityMediumRandom VariablesCalculusView →
- Memoryless waitingMediumConditional Probability & ExpectationRandom VariablesView →
- Minimum of two exponentialsMediumProbabilityRandom VariablesView →
- Neither die exceeds fourMediumProbabilityRandom VariablesView →
- Optimally pooling two estimatorsMediumRandom VariablesStatisticsView →
- Order statistics of two uniformsMediumRandom VariablesStatisticsView →
- Poisson thinning: exactly two large ordersMediumRandom VariablesView →
- Product of two uniforms above a halfMediumProbabilityRandom VariablesView →
- Rare-event Poisson approximationMediumProbabilityRandom VariablesView →
- Ratio of partial sumsMediumRandom VariablesExpected ValueView →
- Remaining life of a memoryless partMediumRandom VariablesView →
- Sampling an exponential from a uniformMediumRandom VariablesProgramming & DSAView →
- Second moment via the MGFMediumRandom VariablesCalculusView →
- Sum and difference of perfectly correlated variablesMediumRandom VariablesStatisticsView →
- Sum of independent PoissonsMediumProbabilityRandom VariablesView →
- Sum of squared standard normalsMediumRandom VariablesStatisticsView →
- Sum versus twice the differenceMediumProbabilityRandom VariablesView →
- The first component to failMediumRandom VariablesView →
- The larger die shows a 4 - what about the smaller?MediumProbabilityRandom VariablesView →
- The last lightbulb to burn outMediumRandom VariablesExpected ValueView →
- The probability integral transformMediumRandom VariablesStatisticsView →
- Two uniforms summing below a halfMediumProbabilityRandom VariablesView →
- Uncorrelated but dependentMediumRandom VariablesStatisticsView →
- Variance of a coin-gated payoffMediumRandom VariablesStatisticsView →
- Variance of a compound daily totalMediumRandom VariablesView →
- Variance of a lognormalMediumRandom VariablesFinance & DerivativesView →
- Variance of a squared normalMediumRandom VariablesStatisticsView →
- Variance of a sum drawn without replacementMediumRandom VariablesView →
- Variance of a two-regime returnMediumRandom VariablesStatisticsView →
- Variance of an aggregate Poisson totalMediumRandom VariablesStochastic ProcessesView →
- Variance of coins-per-die headsMediumRandom VariablesStatisticsView →
- Variance of the larger of two diceMediumRandom VariablesStatisticsView →
- Variance of the longer pieceMediumProbabilityRandom VariablesView →
- Waiting to see both facesMediumRandom VariablesStatisticsView →
- When a biased estimator winsMediumRandom VariablesStatisticsView →
- Which desk books the larger dayMediumRandom VariablesStatisticsView →
- X positive given the sum is positiveMediumProbabilityRandom VariablesView →
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