Exit to H2 Mathematics

GCE A-Level H2 Mathematics: Paper 2 practice

Practise paper 2 with the GCE A-Level H2 Mathematics question types and full mark budget. Work through the questions before opening feedback.

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  • GCE A-Level H2 Mathematics 2027
Learning goals
  • Determine function domains, ranges and admissible inputs
  • Compose and invert functions with existence conditions
  • Interpret and draw graphs of functions
  • Transform graphs and relate representations
  • Solve inequalities and represent their solution sets
  • Formulate, use and interpret a mathematical model
  • Express and use the general term of a sequence
  • Find finite sums and analyse convergence of series
  • Add vectors by ordered components
  • Subtract vectors by ordered components
  • Multiply a vector by a scalar
  • Calculate the magnitude of a vector
  • Produce a unit vector in a given direction
  • Locate a point from a displacement parameter
  • Find the directed displacement between two points
  • Calculate the distance between two points
  • Test all coordinates for point collinearity
  • Locate an internally or externally dividing point from its ratio
  • Explain vector geometry, position, displacement and ratio relationships
  • Calculate a scalar product
  • Calculate an ordered vector product
  • Calculate the angle between directed vectors
  • Find a signed scalar component along a direction
  • Find the parallel vector component along a direction
  • Find the perpendicular component's magnitude
  • Justify the geometrical meanings and properties of vector products
  • Produce a vector equation of a spatial line
  • Produce independent Cartesian equalities for a spatial line
  • Produce a vector equation of a plane
  • Produce a Cartesian equation of a plane
  • Distinguish coincident, parallel, intersecting and skew lines
  • Classify a line's relationship with a plane
  • Distinguish coincident, parallel and intersecting planes
  • Produce the intersection line of two planes
  • Find the foot of a perpendicular from a point to a line
  • Find the perpendicular distance from a point to a line
  • Find the foot of a perpendicular from a point to a plane
  • Find the perpendicular distance from a point to a plane
  • Find the unique intersection point of a line and a plane
  • Find the smaller angle between spatial lines
  • Find the smaller angle between planes
  • Find the angle between a line and a plane
  • Justify spatial vector relationships and parameter conditions
  • Add complex numbers
  • Subtract complex numbers
  • Multiply complex numbers
  • Divide by a nonzero complex number
  • Find the conjugate of a complex number
  • Calculate the modulus of a complex number
  • Calculate a complex number's principal argument
  • Find every distinct root of a real quadratic over the complex numbers
  • Solve a unique linear complex equation, including a conjugate term
  • Recover the remaining distinct roots of a real cubic or quartic from a non-real root
  • Explain complex equality, the number system and real-coefficient root properties
  • Represent and explain complex operations on an Argand diagram
  • Relate a function to its derivative graphs
  • Differentiate implicit and parametric relationships within stated scope
  • Classify stationary points using justified derivative tests
  • Find and interpret a tangent to a curve
  • Find and interpret a normal to a curve
  • Model and solve an optimisation problem
  • Relate connected rates of change
  • Use and derive bounded Maclaurin approximations
  • Find antiderivatives within the permitted scope
  • Select and apply permitted integration techniques
  • Evaluate definite integrals
  • Relate a definite integral to area under a curve
  • Relate definite integrals to signed area and geometric area
  • Use integrals to calculate volumes of revolution
  • Formulate, solve and interpret separable differential equations
  • Calculate event probabilities from an explicit sample space
  • Distinguish independence from mutual exclusivity
  • Calculate and interpret conditional probabilities
  • Use counting principles, permutations and combinations
  • Build a finite distribution from equally likely outcome counts
  • Calculate an event probability from a finite distribution
  • Calculate a finite discrete variable's expectation
  • Calculate a finite discrete variable's second moment
  • Calculate a finite discrete variable's variance
  • Build a transformed finite distribution, combining equal values
  • Calculate the expectation of a transformed finite variable
  • Calculate the variance of a transformed finite variable
  • Explain discrete models, probability constraints and moment interpretation
  • Choose and use a binomial probability model
  • Calculate an event probability in a specified binomial model
  • Calculate a conditional probability in a specified binomial model
  • Calculate the expectation of a specified binomial count
  • Calculate the variance of a specified binomial count
  • Recover the unique binomial parameters from exact moments
  • Find the least trial count satisfying a binomial probability threshold
  • Choose and use a normal probability model
  • Calculate an event probability in a specified normal model
  • Calculate a conditional probability in a specified normal model
  • Recover a normal boundary from its specified tail probability
  • Recover a normal mean from a probability and known variance
  • Recover a normal variance from a probability and known mean
  • Recover the unique normal mean and variance from two probabilities
  • Calculate a linear combination's expectation from specified moments
  • Calculate a linear combination's variance with justified dependence conditions
  • Calculate a probability for a specified combination of normal variables
  • Reason about sampling and sampling distributions
  • Calculate a population-mean estimate from a specified independent sample
  • Calculate an unbiased population-variance estimate from a specified independent sample
  • Calculate an estimated standard error from a specified independent sample
  • Calculate a sample mean's expectation from specified population moments
  • Calculate a sample mean's variance from specified population moments
  • Calculate a sample mean's standard error from specified population moments
  • Calculate a sample-mean probability under a specified exact or approximate normal model
  • Calculate a minimum sample size for specified normal-model precision
  • Formulate and interpret a justified hypothesis test
  • Calculate a signed population-mean test statistic under a stipulated normal-test model
  • Calculate a population-mean test p-value for a prespecified alternative
  • Calculate all standardised critical boundaries for a planned population-mean test
  • Calculate all sample-mean critical boundaries for a planned known-variance normal test
  • Determine a population-mean test decision using the unrounded planned p-value and level
  • Fit and interpret correlation and regression models
  • Calculate product-moment correlation from specified paired data
  • Calculate complete ordered intercept and gradient from specified paired data
  • Calculate original-response model prediction from specified paired data
  • Calculate signed residual on the fitted response scale from specified paired data
  • Calculate sum of squared residuals on the fitted response scale from specified paired data
  • Calculate original-input solution of a specified fitted calibration model from specified paired data
  • Calculate product-moment correlation from specified paired data and transformations
  • Calculate complete ordered intercept and gradient from specified paired data and transformations
  • Calculate original-response model prediction from specified paired data and transformations
  • Calculate signed residual on the fitted response scale from specified paired data and transformations
  • Calculate sum of squared residuals on the fitted response scale from specified paired data and transformations
  • Calculate original-input solution of a specified fitted calibration model from specified paired data and transformations

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