Medium Statistics Interview Questions
Medium is where most real interview questions sit. This is the statistics set worth spending the most time in.
63 questions, all free to practise.
- A CLT tail probabilityMediumStatisticsView →
- A difference of three normalsMediumRandom VariablesStatisticsView →
- Average salary, kept privateMediumBrainteasersStatisticsView →
- Back out the market premium, then price a stockMediumStatisticsFinance & DerivativesView →
- Backing out a correlationMediumRandom VariablesStatisticsView →
- Bayes: did it rain?MediumConditional Probability & ExpectationStatisticsView →
- Best linear blend of two estimatesMediumRandom VariablesStatisticsView →
- Confidence interval with the right pivotMediumStatisticsView →
- Correlation of overlapping sumsMediumRandom VariablesStatisticsView →
- Correlation of two face-countsMediumProbabilityStatisticsView →
- Covariance from a triangular densityMediumRandom VariablesStatisticsView →
- Covariance of sum and differenceMediumRandom VariablesStatisticsView →
- Disease test (Bayes)MediumConditional Probability & ExpectationStatisticsView →
- Diversified VaR of two positionsMediumStatisticsFinance & DerivativesView →
- E[X | X > 0] for a standard normalMediumStatisticsCalculusView →
- Empirical rule between two scoresMediumStatisticsView →
- Fair outcome from a biased coinMediumProbabilityStatisticsView →
- Fourth moment of a shifted normalMediumProbabilityRandom VariablesView →
- Gap between two uniformsMediumExpected ValueStatisticsView →
- How many trials to poll a proportionMediumRandom VariablesStatisticsView →
- Law of total varianceMediumConditional Probability & ExpectationExpected ValueView →
- MLE at a boundaryMediumStatisticsCalculusView →
- Markov with a floorMediumStatisticsView →
- Maximum variance on an intervalMediumRandom VariablesStatisticsView →
- Median of a list and its squaresMediumCombinatoricsStatisticsView →
- Minimum-variance portfolio weightMediumStatisticsFinance & DerivativesView →
- Minimum-variance weightsMediumStatisticsFinance & DerivativesView →
- OLS slope from four pointsMediumStatisticsView →
- Optimally pooling two estimatorsMediumRandom VariablesStatisticsView →
- Order statistics of two uniformsMediumRandom VariablesStatisticsView →
- Positive semidefinitenessMediumStatisticsLinear AlgebraView →
- Reading an R²MediumStatisticsView →
- Regression to the meanMediumBrainteasersStatisticsView →
- Screening a rare diseaseMediumConditional Probability & ExpectationStatisticsView →
- Sharpe ratio in a marble gameMediumExpected ValueStatisticsView →
- Sizing an index-futures hedge in contractsMediumStatisticsFinance & DerivativesView →
- Spectrum of a symmetric matrixMediumStatisticsLinear AlgebraView →
- Sum and difference of perfectly correlated variablesMediumRandom VariablesStatisticsView →
- Sum of squared standard normalsMediumRandom VariablesStatisticsView →
- Swapping the regression variablesMediumStatisticsView →
- The German tank problemMediumExpected ValueStatisticsView →
- The probability integral transformMediumRandom VariablesStatisticsView →
- Two-sided p-value of a mean testMediumStatisticsView →
- Uncorrelated but dependentMediumRandom VariablesStatisticsView →
- Variance explained by a regressionMediumStatisticsLinear AlgebraView →
- Variance of a coin-gated payoffMediumRandom VariablesStatisticsView →
- Variance of a squared normalMediumRandom VariablesStatisticsView →
- Variance of a two-regime returnMediumRandom VariablesStatisticsView →
- Variance of coins-per-die headsMediumRandom VariablesStatisticsView →
- Variance of hearts in eight cardsMediumCombinatoricsStatisticsView →
- Variance of the larger of two diceMediumRandom VariablesStatisticsView →
- Variance-minimizing hedgeMediumProbabilityStatisticsView →
- Volatility smile meaningMediumStatisticsFinance & DerivativesView →
- Waiting to see both facesMediumRandom VariablesStatisticsView →
- What 'unbiased' meansMediumStatisticsView →
- What a p-value isMediumStatisticsView →
- When a biased estimator winsMediumRandom VariablesStatisticsView →
- Which desk books the larger dayMediumRandom VariablesStatisticsView →
- Which machine made the defect?MediumConditional Probability & ExpectationStatisticsView →
- Why covariance matrices are PSDMediumStatisticsLinear AlgebraView →
- Why divide by n−1?MediumStatisticsView →
- Width of a market under uncertaintyMediumMarket Making & Betting GamesStatisticsView →
- k-th order statisticMediumExpected ValueStatisticsView →
Widen the search
This set is a slice of a larger one. If it is too narrow, start here instead:
Practise these free
Create a free account to check your answers, track what you have solved, and run the timed simulators.