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MATH40005 Seven Year Effective Coverage Matrix REVISED 2

English review edition prepared on 4 October 2026 from a preserved source copy. It is a later presentation, not the historical study interface. Source checks and difficulty judgements describe the original material author's own process; they do not indicate Imperial College London endorsement.

Source SHA-256: 8056ff54cce7b487529ae222299e348b929c7c03ddeac2d48a0099d621f33d24
Source date: 2026-08-06

EffectiveCoverage

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unit_idyearqidmarkstaskR1R2R3R4R5R6new_bestnew_true_trainingaudit_note
U0012020Q1a3definition σ- algebraDDCACDAis
U0022020Q1b3Define a probability measureDCCADDAis
U0032020Q1ci3Use total probability to calculate the positive-test rateDBBCDBBis
U0042020Q1cii3use Bayes Calculate disease probability after a positive resultDBBDDBBis
U0052020Q1d4Enumerate 7 Express as an ordered sum of three positive integersCCBBBCBis
U0062020Q1e4general k write as n ordered sums of positive integersDDDADDAis
U0072020Q2a3Prove a given map is a discrete random variableDDCCADAis
U0082020Q2b4From discrete pmf Write piecewise CDFCDDADDAis
U0092020Q2ci3Derive the geometric distribution's CDFADDBDDAis
U0102020Q2cii4Prove that the minimum of two independent geometric variables remains geometricDDCACDAis
U0112020Q2d6Calculate the first occurrence HT Expected waiting count for a patternDDCABCAis
U0122020Q3a2State conditions for a valid probability density functionBDCDCBBis
U0132020Q3bi2Assess and rescale 3x is a valid densityBDCDCBBis
U0142020Q3bii2Assess a negative constant function and find a scaling constantBDCDCBBis
U0152020Q3biii2Show a piecewise function with positive and negative values cannot be scaled into a densityBDCDCBBis
U0162020Q3ci3Normalise a three-dimensional joint density to determine its constantBDBDCBBis
U0172020Q3cii3dimension LOTUS calculation E[XYZ]BCBDBCBis
U0182020Q3di3Partition a sample space and give an exampleDBBCDDBis
U0192020Q3dii3Discrete law of total expectationDCCACCAis
U0202020Q4ai3Distribution of a normal sample meanDBBDCCBis
U0212020Q4aii1S² Use unbiasedness to find Z Expectation ofCBDCDCBis
U0222020Q4aiii1Var(S²) find Var(Z)CBDCDCBis
U0232020Q4aiv1Z Estimate σ² bias ofCBDADDAis
U0242020Q4av2Z Mean squared error ofCBDADDAis
U0252020Q4avi2Z Obtain χ² distribution and degrees of freedomDCDDDCCNo
U0262020Q4avii2Use normal-sample independence to find Cov(Xbar,Z)BCDBDCBis
U0272020Q4b4Markov inequalityDDDACDAis
U0282020Q4c4100 Perform for genetic association tests Bonferroni CorrectionCDDADCAis
U0292020Q5a4The sample mean minimises the sum of squared deviationsBDDDDDBis
U0302020Q5b7Least-squares estimation in simple linear regressionDCDACCAis
U0312020Q5ci1Sample t Null hypothesis of the testDBDDDCBis
U0322020Q5cii2Two-sample t Normality and equal-variance assumptions for the testDBDDDCBis
U0332020Q5d6U[0,θ] Support boundaries of MLECCDADCAis
U0342020Q6ai2normal mean with variance 90% Confidence intervalDDADDDAis
U0352020Q6aii2normal mean with variance 95% t IntervalABDDDDAis
U0362020Q6aiii2Chebyshev Construct a distribution-free 99% Mean intervalDDDCCDCNo
U0372020Q6bi1Joint-distribution assumptions for linear-regression errorsDCDCCCCNo
U0382020Q6bii4Use two residual plots to assess fit and choose a transformationCDDDDCCNo
U0392020Q6c3Likelihood and Gamma Posterior distribution from the priorDDDADCAis
U0402020Q6d6correlation bounds and Y Boundedness gives sd(X) Lower boundBDDACDAis
U0412021Q1a2Draw an event in the unit square and assign probability by areaBDBDBCBis
U0422021Q1bi2Sample space for repeated die rollsCDDDACAis
U0432021Q1bii2Cardinality of the sample space's power setCCBCACAis
U0442021Q1biii2Probability space for seven die rollsCBBCACAis
U0452021Q1c2Complements of independent events remain independentDDCCCDCNo
U0462021Q1di3Seven-letter words with distinct consonants and vowelsCCBCBCBis
U0472021Q1dii3Seven-letter words with repeated vowels allowedCCBCBCBis
U0482021Q1e2Multiset permutations of race-car colour rankingsCCBCBCBis
U0492021Q1f2Use the multiplication principle to count uniform combinationsCCBCBCBis
U0502021Q2a3Given the first roll, find the maximum of two rolls' conditionalCBBBDDBis
U0512021Q2b6LOTUS and series to find expectation of a function of a geometric variableCCCBCCBis
U0522021Q2c4Recover marginal distributions by integrating conditional distributionsBDCBBBBis
U0532021Q2d7Normal-Gamma of a scale-mixture variable MGFDBBBACAis
U0542021Q3ai2Uniform of the variable CDFCBBDCCBis
U0552021Q3aii3A shifted variable remains continuousBCCDCBBis
U0562021Q3aiii4translation Uniform Mean and median ofBBBDCCBis
U0572021Q3b3LOTUS Usage context and purposeCCCDCCCNo
U0582021Q3ci1Normalise the density to determine its constantBDCDCBBis
U0592021Q3cii3Two marginals of a joint densityBDCDDBBis
U0602021Q3ciii4P(X/Y≤0.5) Region integral ofADBDCDAis
U0612021Q4ai1Second moment equals squared mean plus varianceDBBDDDBis
U0622021Q4aii2Sample second moment is an unbiased estimatorCBDCCDBis
U0632021Q4aiii3construct (E[X])² Unbiased estimator ofCCDCADAis
U0642021Q4aiv2Calculate the estimator's realised value and note the defect that it can be negativeCBDCCDBis
U0652021Q4b6use Chebyshev Required sample size for determining average potato weightDDDBADAisAUDITED_REVISED_2: R5-3(d) numerical endpoint corrected to n=2501; A-level direct coverage unchanged.
U0662021Q4ci1Calculate sample medianDDDDBDBis
U0672021Q4cii2Calculate lower and upper quartilesDDDDBDBis
U0682021Q4ciii2use Tukey Use the rule to identify outliersDDDDBDBis
U0692021Q4civ1Choose a box plot to show quantiles and outliersDCDDDDCNo
U0702021Q5a6for θx^{θ-1} Use the model to find a conventional MLEDDDDBDBis
U0712021Q5bi1Write two-sided hypotheses for an unknown meanADDDDDAis
U0722021Q5bii3Construct a one-sample t Statistic and critical valueADDDDDAis
U0732021Q5biii2Make a test decision from the statisticADDDDDAis
U0742021Q5biv1Construct the corresponding 99% t Confidence intervalCCDDDDCNo
U0752021Q5c3Give a two-sample t Test examples and hypothesesDBDDDCBis
U0762021Q5d4H0 when all are true 200 items p-value below 0.05 Expected count ofADDDDCAis
U0772021Q6ai1Prove regression-response variance is σ²DBDCCCBis
U0782021Q6aii2Rewrite Sxy and express the slope estimator as a linear combinationDCDCCCCNo
U0792021Q6aiii4calculation Cov(Yi,βhat1)BCDBDDBis
U0802021Q6aiv3Explain a linear-regression example and coefficients' use in Practice PaperDCDCCCCNo
U0812021Q6b5Geometric Likelihood and Beta Posterior distribution from the priorDDDCDAAis
U0822021Q6c2From U Detect linear-model misfit from shaped residualsADDDDCAis
U0832021Q6di1Identify Simpson ParadoxDDDDCCCNo
U0842021Q6dii1Explain Simpson Conditions producing the paradoxDDDDCCCNo
U0852021Q6diii1Explain a reversal by stratifying patient riskDDDDCBBis
U0862022Q1ai2Give a nontrivial example on a four-point sample space σ- algebraDDCCCDCNo
U0872022Q1aii3Construct a discrete random variable and prove measurabilityDDCCADAis
U0882022Q1aiii5Construct a discrete uniform variable and probability measureBCCCCBBis
U0892022Q1bi3Use the binomial theorem / Prove a combinatorial identity by inductionCCCACBAis
U0902022Q1bii7provide for a combinatorial identity story proofCCCACCAis
U0912022Q2a3Prove covariance's bilinear formula for linear combinationsBDDBDDBis
U0922022Q2bi5Find expectation and variance of a linear combinationBBBBDDBis
U0932022Q2bii4Calculate covariance of two linear combinationsBDDBDDBis
U0942022Q2ci7X Continuous , Y For discrete variables find Z=XY density of and verifyCCCCACAis
U0952022Q2cii1Can take 0 when finding Z=XY Mixture of CDFCCCDBCBis
U0962022Q3a8Low values reported in the media / with high disease prevalence Bayes Conclude and identifyDBBDDAAis
U0972022Q3b6Uniform Maximum / Probability of a very rare conditioning eventBBBCCCBis
U0982022Q3ci1Normalise the density to determine its constantBDCDCAAis
U0992022Q3cii2X Marginal density ofBDCDDAAis
U1002022Q3ciii3E(Y|X=x) and give the domainADCCCAAis
U1012022Q4ai2Determine estimator biasCBDADDAis
U1022022Q4aii3of the estimator MSECBDADDAis
U1032022Q4b6Bernoulli Variance upper bound and Chebyshev Choose sample sizeBDDABDAis
U1042022Q4c3Beta(α,1) Formula for the distribution's medianBCCDCCBis
U1052022Q4di4normal mean with variance 99% t IntervalBBDDDDBis
U1062022Q4dii2Use a confidence interval to assess whether mean share price is positiveDDBDDDBis
U1072022Q5ai2I types and II Type of errorDDDDBDBis
U1082022Q5aii2Trade-off between power and both error typesDDDDBDBis
U1092022Q5aiii2Explain both error types in a hospital settingDDDDBDBis
U1102022Q5bi2hypotheses for a sided mean testBDDDDDBis
U1112022Q5bii4One-sample with known variance z Test and concludeBDDDDDBis
U1122022Q5ci2Assess the two smallest p-value Whether significantCDDBDCBis
U1132022Q5cii2Adjust the threshold so exactly one discovery is significantDDDBDDBis
U1142022Q5d4Calculate sample correlation from summary statisticsBDDBDDBis
U1152022Q6a6of the lognormal location parameter MLEDDDDADAis
U1162022Q6bi1Determine whether the given sample is bootstrap SampleACDDCDAis
U1172022Q6bii1Determine that a sample containing values outside the original sample is not bootstrapACDDCDAis
U1182022Q6c2Joint R² and residual plots to detect model misfitCDDDDCCNo
U1192022Q6d4Use the regression line's required passage through (xbar,ybar) Check coefficientsDCDCACAis
U1202022Q6e6Define likelihood and Gamma Posterior update of the priorDDDBDCBis
U1212023Q1a50 Probability that at least two people share a birthday weekdayDDADDCAis
U1222023Q1b5Probability that exactly one pair among the people shares a birthdayCCACBAAis
U1232023Q1c5sensitivity / of measles and rash Bayes PosteriorDBADDBAis
U1242023Q1d5Prove that discrete random variables joined by events remain measurableDDACCDAis
U1252023Q2ai2Prove the indicator and preimage identityDDCCADAis
U1262023Q2aii6prove σ- The family of preimages of an algebra remains σ- algebraDDCCADAis
U1272023Q2b6oisson Under random sample size Uniform Minimum tail probabilityDCABBCAis
U1282023Q2c6Region probabilities for independent standard normalsBBADCCAis
U1292023Q3a3When independence is absent Poisson The sum need not be PoissonDDACCCAis
U1302023Q3bi1Normalise the density to determine its constantADADCBAis
U1312023Q3bii2marginal densitiesADADDBAis
U1322023Q3biii1X,Y not independentADADDDAis
U1332023Q3biv4Y|X=x Conditions of CDFADADDBAis
U1342023Q3ci3X^4 of CDF and densityCBBDCCBis
U1352023Q3cii2E[X^4]CBBDCCBis
U1362023Q3d4MGF Prove independence Binomial Distribution of the sumCCDDCDCNo
U1372023Q4a3MSE=Bias²+VarianceABDCDDAis
U1382023Q4b5Chebyshev Determine opinion-poll sample sizeBDDABDAis
U1392023Q4ci4normal mean with variance 97% IntervalDDADDDAis
U1402023Q4cii3Given 99% Confidence intervalDDADDDAis
U1412023Q4di2Lower and upper quartilesDDDDBDBis
U1422023Q4dii3use Tukey criterion for identifying outliersDDDDBDBis
U1432023Q5ai2definition p-valueCDDDDCCNo
U1442023Q5aii3Explain p=0.06 Meaning for the experimentCDDDDCCNo
U1452023Q5b6Test whether the sum of two normal means equals 360DBDDDAAis
U1462023Q5c6calculation Y and X+3Y Correlation coefficient ofADDBDDAis
U1472023Q5d3Identify and explain in wage data Simpson ParadoxDDDDACAis
U1482023Q6a6Find the geometric-distribution parameter's MLEDDDDBDBis
U1492023Q6b6Derive simple linear regression with an intercept OLS CoefficientsDCDACCAis
U1502023Q6c3Diagnose residual plots and suggest a variable transformationCDDDDCCNo
U1512023Q6di1Choose a histogram for a continuous univariate distributionDADDDDAis
U1522023Q6dii1Choose Q-Q Use a plot to check normalityDADDDDAis
U1532023Q6diii1Choose a bar chart for category proportions / Pie chartDADDDDAis
U1542023Q6div1Choose a time-series plot for three years of share pricesDADDDDAis
U1552023Q6dv1Choose a box plot for share-price quantilesDCDDDDCNo
U1562024Q1a450 identical footballs distributed to 20 people, each receiving at least 1 itemsDDDBDDBis
U1572024Q1bi4Random permutations of repeated letters exactly equal BOOCCBCBCBis
U1582024Q1bii4Three symbols in permutations with repeated letters E Probability of adjacencyCCBCBCBis
U1592024Q1c4after a positive breast-cancer screening result Bayes ProbabilityDBBDDAAis
U1602024Q1d4Use joint CDF Represent P(X>x,Y>y)BBBCDBBis
U1612024Q2a8of the initial same-face run length of a fair coin PGFDCCBBCBis
U1622024Q2bi2Given a joint density on a triangular regionBDCDCBBis
U1632024Q2bii2X Marginal density ofBDCDDBBis
U1642024Q2biii2Y Marginal density ofBDCDDBBis
U1652024Q2biv1E[X]CCCDCCCNo
U1662024Q2bv1E[Y]CCCDCCCNo
U1672024Q2bvi4Cov(X,Y)ADDBDDAis
U1682024Q3a6Independent Poisson Conditional on the total, it is BinomialDDBDCCBis
U1692024Q3bi4Poisson First and second moments of the variableDBBDBDBis
U1702024Q3bii5Joint Poisson Expectation of a random sumDBACCAAis
U1712024Q3biii5Joint Poisson Variance of a random sumDBACCAAis
U1722024Q4a4Variance is the minimum squared lossADDDDDAis
U1732024Q4b2Sample median and IQRDDDDBDBis
U1742024Q4ci4normal mean with variance 99% t IntervalABDDDDAis
U1752024Q4cii4Variance 95% χ² IntervalDBDDDBBis
U1762024Q4d6Uniform Maximum CDF and unbiasedness θ EstimatorCBCCCCBis
U1772024Q5ai4prove H0 continuous under p-value Follows U(0,1)BDDDDAAis
U1782024Q5aii3Explain significance thresholds and I/II Type of errorDDDDBDBis
U1792024Q5bi2Write for a cola discrimination experiment H0/H1DDBDBDBis
U1802024Q5bii4Assess using exact hypergeometric probability 5/6 Whether significantDDBDBDBis
U1812024Q5c5Prove that with equal variances X+Y and X-Y uncorrelatedADDBDDAis
U1822024Q5d2Explain that extremely high sample correlation does not imply causationDDDDCAAis
U1832024Q6a3Explain 95% A confidence interval does not assign the parameter a 95% ProbabilityDDADDDAis
U1842024Q6b7of the median of an exponential distribution MLECCCDBCBis
U1852024Q6c6Find least-squares coefficients for quadratic regression without an interceptDCDCCAAis
U1862024Q6d2Detect linear-model misfit from a curved residual plotCDDDDCCNo
U1872024Q6ei1Determine that a sample one observation short is not bootstrapACDDCDAis
U1882024Q6eii1Determine that a same-size sample with replacement is bootstrapACDDCDAis
U1892025Q1ai3Describe the probability space of one fair-die rollADDDBAAis
U1902025Q1aiia3Identify distributions of each die outcome and the match countBDDBDDBis
U1912025Q1aiib3Find the first n Probability of at least one match in repeated trialsBDBCCDBis
U1922025Q1bi5Calculate lateness by total probability from passenger proportions and delay ratesDABCDDAis
U1932025Q1bii2Use for lateness Bayes Find the route A Probability ofDABDDBAis
U1942025Q1biii4Recalculate after a fault changes conditional probabilities BayesDABCDBAis
U1952025Q2ai5Passwords with letters, digits and distinct symbolsAABCBCAis
U1962025Q2aii4probability of adjacent symbolsACBCBCAis
U1972025Q2bi3Joint density on a triangular regionADCDCBAis
U1982025Q2bii3X Marginal density ofADCDDBAis
U1992025Q2biii2Y|X Conditional density ofADCDDBAis
U2002025Q2biv3Use a conditional density to establish dependence and give an alternative testADCDDDAis
U2012025Q3ai4-log(U)/λ is exponentially distributedCACDCCAis
U2022025Q3aii4independent Uniform of the sample maximum CDFDACDDCAis
U2032025Q3bi3standard normal variable MGFDABDBCAis
U2042025Q3bii4MGF Find the distribution of a sum of independent standard normalsDABDBCAis
U2052025Q3ci4Equality of all moments implies identical distributions under stated additional assumptionsDADDADAis
U2062025Q3cii1Conclusion and continuous / Discrete / Independent of mixture typeDBDDBDBis
U2072025Q4ai2Variance of the sample mean of normal variables with equal variancesDABDDAAis
U2082025Q4aii5Calculate for a sample with unequal means E[S²]DABDDAAis
U2092025Q4bi4Normal mean with unknown variance 90% t IntervalBADDDDAis
U2102025Q4bii4Normal variance 95% χ² IntervalDADDDBAis
U2112025Q4c3Explain the given 99% Confidence intervalDDBDDDBis
U2122025Q4d2Explain Q-Q Plot evidence for normalityAADDDDAis
U2132025Q5ai1Calculate sample medianDDDDBDBis
U2142025Q5aii2Calculate lower and upper quartilesDDDDBDBis
U2152025Q5aiii1use Tukey Use the rule to find outliersDDDDBDBis
U2162025Q5aiv1Choose a box plotDCDDDDCNo
U2172025Q5b7Two-sample procedure with both variances known z Test and calculate p-valueDADDDCAis
U2182025Q5c4Define both error types and discuss α Effect of changesDDDDADAis
U2192025Q5d4Apply multiple-comparison correction in ten genetic testsCDDBDCBis
U2202025Q6a6U[θ1,θ2] at both endpoints MLECADBDCAis
U2212025Q6bi1prove Sxy Equivalent expression forDADCCCAis
U2222025Q6bii1Express the slope estimator as a linear combination of response variablesDADCCCAis
U2232025Q6biii4Express the intercept estimator as a linear combination and find covariance with the slopeBADBDDAis
U2242025Q6biv4Give a regression example and explain a transformation for nonlinearityCCDCCCCNo
U2252025Q6c4use bootstrap Construct the class median 95% IntervalCADDADAis
U2262026Q1a3Probability space of two successive fair six-sided die rollsADDDBCAis
U2272026Q1bi3EuroMillions All outcomesCCBCBCBis
U2282026Q1bii3Exactly match 3 matching two of the main numbers Lucky Stars conditions ofDBBCCDBis
U2292026Q1biii4Total probability of secondary prizes in a random lotteryCCBCBCBis
U2302026Q1biv2cky Stars Multiset count with replacement and no orderingDDDBDDBis
U2312026Q1c5Shifted geometric pmf and find CDFADDBDDAis
U2322026Q2a3Three variables that are pairwise but not mutually independentDDCCADAis
U2332026Q2bi5Joint CDF Find the marginal CDF/ density and identify the exponential distributionBCCDCBBis
U2342026Q2bii2Joint CDF Determine independence by factorisationBDCDDDBis
U2352026Q2biii3of a random variable MGFDBBDBCBis
U2362026Q2biv3Z=X² of CDFCCBDCCBis
U2372026Q2ci2Identify birthday indicators and the total number of people'sADDDDDAis
U2382026Q2cii2Probability that at least one person has a New Year's Day birthdayBDDDDDBis
U2392026Q3a3Optimal point and minimum for squared loss, and optimum absolute lossADDDDDAis
U2402026Q3b3MSE bias of - Variance decompositionABDCDDAis
U2412026Q3ci1Choose a scatter plot for bedroom count versus house priceDADDDDAis
U2422026Q3cii1Choose a box plot for median, spread and outliers in house pricesDADDDDAis
U2432026Q3di4normal variance 99% χ² IntervalDBDDDAAis
U2442026Q3dii5Two-sided normal mean with known variance t Test and calculate p-valueADDDDDAis
U2452026Q3e3define and explain p-value and its U(0,1) ConditionADDDDAAis
U2462026Q4a4Calculate correlation of linear combinations of correlated normal variablesADDBDDAis
U2472026Q4b3Joint normal R² and U Detect model misfit from shaped residuals and suggest a transformationADDDDAAis
U2482026Q4c2Give a real-world example of linear regressionDCDCCCCNo
U2492026Q4d2Explain that common trends with high correlation do not imply causationDDDDCAAis
U2502026Q4ei2Determine that a same-size sample with replacement is bootstrapACDDCDAis
U2512026Q4eii2Determine that an undersized sample is not bootstrapACDDCDAis
U2522026Q4f5U[θ,θ+1] Nonunique under support constraints MLEABBBBAAis