OCR A-Level Further Mathematics B (MEI)

Last Accessed

Recently visited lessons will appear here for quick access.Start exploring your first lesson today!

Core Pure

Complex numbers

Pj1, Pj2 - Complex number terms and quadratic rootsSome quadratic equations have no real roots, yet they still have roots. In this lesson you meet the imaginary unit i and the language of complex numbers: real and imaginary parts, the conjugate, the modulus and the argument, and the real and imaginary axes. You then solve any quadratic equati...
Pj4, Pj5 - Complex arithmetic and equating partsIn this lesson you add, subtract, multiply and divide complex numbers given in the form x + yi, and you use the fact that a complex number is zero only when its real and imaginary parts are both zero to turn one complex equation into two real ones. Along the way you find the square roots of \...
Pj3 - Solving cubics and quarticsUse the conjugate-pair rule to find complex roots of polynomials with real coefficients. You will reduce a cubic to a quadratic using a real root, and turn a given non-real root of a quartic into a real quadratic factor.
Pj6–Pj8 - Modulus-argument formDescribe a complex number by its size and direction, then use those two pieces of information to multiply and divide. Pj6 supplies exact radian angles, Pj7 connects Cartesian and modulus-argument forms, and Pj8 turns a long expansion into a short calculation with lengths and angles.
Pj9, Pj10 - Using the Argand diagramRead complex arithmetic as geometry. Pj9 connects a number and its conjugate to points on an Argand diagram; Pj10 shows how addition, subtraction, multiplication and division move those points.
Pj11 - Loci on the Argand diagramTranslate a complex equation into a set of points. You will recognise circles, half-lines and perpendicular bisectors, locate them accurately, and state the features needed to describe each locus completely.
Pj11 - Regions on the Argand diagramUse complex inequalities to describe regions, including exactly which boundaries belong. You will combine circles, half-planes and angular sectors using intersections and unions, and check the result with particular points.
Pj12, Pj13 - De Moivre's theorem and multiple anglesDe Moivre's theorem turns powers of complex numbers into multiples of angles. Pj12 gives the theorem and its meaning; Pj13 uses it to derive multiple-angle identities and to express powers of sine and cosine in terms of multiple angles.
Pj13 - Summing trigonometric seriesAdd a sine series and a cosine series together as one complex series, sum it, then extract the part you need. This second use of Pj13 covers binomially weighted sums, finite geometric sums and convergent infinite series, including series whose angles advance by more than one step.
Pj14–Pj17 - Exponential form and nth rootsPj14 introduces the compact form re^(iθ). Pj15–Pj17 use it to find every n-th root of a non-zero complex number, explain their regular-polygon arrangement, and prove why their sum is zero when n≥2.
Pj18–Pj20 - Geometry on the Argand diagramPj18 turns multiplication into an enlargement and a rotation, while Pj19 places roots of unity on the Argand diagram. Pj20 combines these ideas with complex differences and moduli to solve geometrical problems, including the side and diagonal lengths of regular polygons.

Matrices and transformations

Pm1–Pm3 - Adding and multiplying matricesA matrix lets you organise several numbers and calculate with them as one object. You learn the arithmetic in Pm1, equality and the zero and identity matrices in Pm2, and the multiplication rules in Pm3. The important change from ordinary algebra is that the order of a product can change its value.
Pm4 - Matrices of 2-D transformationsTwo columns can describe what a transformation does to every point in the plane. You learn how to build and recognise matrices for reflections, rotations, enlargements, stretches and shears, and how to describe each transformation precisely. The images of just two unit vectors will do most of the...
Pm4, Pm5 - Successive and 3-D transformationsCombining two transformations means multiplying their matrices in the correct order. You learn that connection in Pm5, then extend Pm4 to reflections in coordinate planes and quarter-turn multiples about coordinate axes in three dimensions. Unit-vector images keep the larger matrices manageable.
Pm6 - Invariant points and linesA transformation can leave a point fixed or leave a whole line in the same place while moving its points. You learn to distinguish these two meanings of invariance and use coordinate equations to find every invariant point and line of a plane transformation. Checking vertical lines will be just a...
Pm7–Pm10 - Determinants and scale factorsA transformation can push a square sideways, make it much longer and still leave its area unchanged. Pm7 introduces the determinant and singular matrices; Pm8 and Pm9 connect its size and sign to area, volume and orientation. Pm10 lets you combine scale factors without multiplying every matrix en...
Pm11–Pm14 - Inverse matricesAn inverse matrix reverses a transformation and recovers its original input. Pm11 explains what that means, Pm12 develops inverses of orders 2 and 3, and Pm13 uses them to find pre-images and solve matrix equations. Pm14 explains why undoing a product reverses the order of its factors.
Pm15 - Determinants and inverses by handA numerical matrix can be inverted by calculator, but an unknown entry calls for algebra. Pm15 develops the hand methods for determinants and inverses of order 3, including matrices containing parameters. Minors, signed cofactors and one transpose turn a large calculation into a sequence of s...

Vectors and 3-D space

Pv1 - Scalar product and angles between vectorsTurn two vectors into one number that reveals the angle between them. You will calculate scalar products in components, use their geometric form to find angles, and recognise perpendicular directions without drawing a three-dimensional picture.
Pv2, Pv3 - Equations of planesDescribe a flat surface using a point and a perpendicular direction. You will explain what a normal vector tells you, form and use vector and Cartesian equations of planes, and find a normal from two non-parallel directions in a plane.
Pv4–Pv6 - Intersections and angles of planesDecide how three planes fit together, find their common point using an inverse matrix, and calculate the angle between two planes from their normals. You will distinguish a failed inverse calculation from a geometrical conclusion and see why the angle between planes needs no subtraction from a ri...
Pv7, Pv8 - The vector productProduce a vector perpendicular to two given directions, rather than a single scalar. You will calculate the vector product, interpret its direction and zero cases, and use its magnitude to find an angle when the acute or obtuse choice is known.
Pv9, Pv10 - Lines and the angle between themDescribe a straight line using a point and a direction, convert between vector and Cartesian forms, and calculate the smaller angle between two lines from their direction vectors. You will handle zero direction components without dividing by zero and recognise different equations of the same line.
Pv11, Pv12 - Intersecting, parallel or skew linesTwo lines in space can miss each other even when they are not parallel. Pv11 names the possible relationships; Pv12 gives you a reliable calculation to distinguish them and find an intersection when it exists. You will compare directions first, then require one pair of parameter values to satisfy...
Pv14, Pv15 - Line–plane intersections and anglesA line can pierce a plane, run alongside it or lie entirely in it. Pv14 lets you distinguish these cases and locate an intersection; Pv15 gives the angle of the line to the surface. You will use a direction vector for the line and a normal vector for the plane, keeping their different roles clear.
Pv16, Pv17 - Point-to-line and point-to-plane distancesDistance to a line or plane means the shortest distance, measured along a perpendicular connector. Pv16 covers a point and a line in two or three dimensions; Pv17 covers a point and a plane. You will use the supplied formulae where they apply and find a perpendicular foot when a three-dimensional...
Pv13 - Distances between parallel or skew linesThe distance between two lines is the shortest gap between them, not the length between their displayed starting points. For parallel lines you reduce the problem to a point and a line. For skew lines you use the supplied formula and understand why its direction is perpendicular to both lines.

Differential equations

Pp19–Pp22 - Forming differential equation modelsA differential equation describes how a quantity changes, rather than giving its value directly. Pp19 defines the variables; Pp20 translates rates and changing rates into derivatives; Pp21 supplies the language of motion; Pp22 uses these ideas to build and interpret models. You will turn physical...
Pc7–Pc10 - First order equations and integrating factorsAn integrating factor turns a first-order linear differential equation into one product derivative that you can integrate. Pc7 distinguishes general and particular solutions; Pc8 identifies the right equation form; Pc9 explains the factor; Pc10 uses it to solve equations and apply conditions. You...
Pc11, Pc12 - Second order homogeneous equationsA quadratic equation can determine the whole family of solutions of a second-order differential equation. Pc11 uses this auxiliary equation; Pc12 explains how distinct real, repeated real and complex roots lead to different solution forms. You will choose the correct form and use two conditions t...
Pc13, Pc14 - Second order non-homogeneous equationsA non-zero right side adds a forcing term to a second-order equation. Pc13 combines the homogeneous solution with one particular integral; Pc14 finds that integral for polynomial, exponential and trigonometric forcing, including cases where the first trial overlaps the complementary function. You...
Pc15 - Simple harmonic motionSimple harmonic motion turns a second-order differential equation into a repeating movement about equilibrium. Pc15 connects the equation to its sine-and-cosine solution, uses initial displacement and velocity to find the constants, and reads amplitude and period from the result. The equation als...
Pc16, Pc17 - Damped oscillationsDamping changes a repeating motion into one that settles towards equilibrium. Pc16 builds second-order models from restoring and resistive effects; Pc17 connects their auxiliary roots to under-damping, critical damping and over-damping. You will interpret graphs, distinguish actual peaks from an...
Pc18 - Coupled first order equationsWhen two changing quantities affect one another, their differential equations must be solved together. Pc18 turns a coupled pair of first-order linear equations into one second-order equation, recovers the other variable and applies consistent initial data. You will also interpret population-rate...

Mechanics (Major and Minor)

Vectors and variable forces (Major only)

Statistics (Major and Minor)

Discrete random variables

SR1–SR3 - Discrete distributions, mean and varianceDescribe a finite random variable by its possible values and their probabilities. SR1 turns tables, formulae and graphs into probability statements; SR2 and SR3 use the same information to measure the distribution's centre and spread.
SR4–SR6 - Expectation and variance of combinationsWork out how changing a scale, adding a constant or combining independent observations changes a distribution. SR4 and SR5 transform its mean and variance; SR6 combines variables and explains why averaging fresh observations reduces variation.
SR7–SR9 - The discrete uniform distributionUse equally likely values to build a discrete uniform model. SR7 and SR8 identify the model and count event probabilities; SR9 calculates its mean and variance, including derivations and distributions whose labels do not start at one.
SR10 - The binomial distributionConnect the familiar binomial model to independent zero-or-one trials. Check its assumptions in context, calculate probabilities and prove its mean and variance in particular cases instead of simply quoting the results.
SR11–SR15 - The Poisson distributionModel event counts in time or space and calculate their probabilities. SR11 and SR12 choose a suitable model, SR13 handles point and cumulative probabilities, and SR14 and SR15 connect the parameter to moments, interval lengths and independent totals.
SR16–SR18 - The geometric distributionModel the number of trials up to and including a first success. SR16 checks the stopping rule and assumptions, SR17 turns event wording into point and cumulative probabilities, and SR18 uses the supplied mean and variance to interpret or recover the success probability.

Continuous random variables (Major only)

SR19–SR21 - Probability density functionsSR19–SR21 model measurements using continuous random variables. You will interpret a density graph, check that a proposed density is valid, sketch its support and calculate probabilities as areas, including when the formula changes partway through an interval.
SR22, SR23 - Averages and spread from a pdfSR22 uses a density to calculate the mean, variance and standard deviation, including the continuous uniform model. SR23 finds the median by splitting probability in half and the mode by locating the density's maximum. The three measures of centre answer different questions.
SR24–SR26 - Cumulative distribution functionsSR24 accumulates density into a cumulative distribution function and sketches its full shape. SR25 recovers density by differentiation. SR26 uses cumulative probabilities to find intervals, medians and percentiles, including selecting the correct branch of a piecewise function.
SR27–SR29 - Combining Normal random variablesSR27 extends expectation algebra to continuous variables. SR28 uses calculator probabilities and percentiles for a Normal model; SR29 adds the crucial distribution result for independent Normal combinations. You will state the resulting distribution before calculating a probability, and distingui...
SR30, SR31 - Checking a Normal modelSR30 distinguishes a Normal model for individual observations from a Normal approximation for a sampling distribution. SR31 uses supplied Normal probability plots and Kolmogorov-Smirnov output to judge a proposed fit. You will interpret evidence cautiously, without constructing the plots or calcu...

Inference (Major only)

SI1–SI6 - Sample means and the Central Limit TheoremSI1–SI2 turn sample data into estimates of a population's mean and variance. SI3–SI6 then treat the sample mean itself as a random variable: you will calculate its standard error, distinguish exact Normal results from the Central Limit Theorem, and approximate probabilities for means and totals.
SI7–SI9, SR32 - Confidence intervals for a meanSI7 explains what confidence describes; SI8 controls interval width. SI9 and SR32 construct intervals for a single population mean using a Normal or t distribution, with the sample size and knowledge of the population variance deciding which is appropriate.
SI10, SI11 - Confidence intervals for paired samplesSI10 identifies a genuine pairing between observations. SI11 then treats the differences as one sample, constructing a Normal or t confidence interval for the mean difference and interpreting its sign in context.
SI12, SI13 - Confidence intervals from softwareSI12 reads confidence intervals from software, including output for a parameter or distribution whose calculation has been supplied. SI13 uses the reported interval to assess a hypothesised parameter value, with a conclusion that reflects sampling uncertainty.
SH5 - The Wilcoxon signed rank testSH5 tests a single population median using the signs and ranks of deviations from its hypothesised value. You will check the symmetry assumption, handle zero deviations and ties, choose the correct one- or two-tailed table column, and reach a non-assertive conclusion in context.
SH6 - Hypothesis tests for a meanSH6 tests a single population mean using a Normal or t reference distribution. You will choose the distribution from the sampling conditions, distinguish one- and two-sided alternatives, use the right critical-value convention, and state what the evidence suggests in context.

Modelling with Algorithms

Linear programming

AL1–AL5 - Formulating linear programsTranslate a practical decision into numerical variables, a linear objective and constraints. Recognise standard and augmented forms, interpret slack variables and state when fractions of a decision are not allowed.
AL6, AN13 - Network problems as linear programsExpress paths, flows, project durations, matchings, allocations and transportation as linear models suitable for a computer. The network picture remains useful, but the decision variables and constraints tell the software what its arrows mean.
AL7–AL11 - Graphical solution of linear programsUse feasible regions and objective lines to solve continuous and integer problems. Explore changed constraints, recognise special cases, interpret a supplied three-dimensional region and reduce an equality-constrained problem to two variables.
AL12, AL13 - The simplex methodBuild, pivot and interpret simplex tableaux for a maximisation problem in augmented form. Connect the algebra to movement between feasible vertices, and distinguish optimality, degeneracy and other possible outcomes.
AL14–AL16 - Simplex for non-standard problemsUnderstand why lower bounds can prevent an ordinary slack start, introduce surplus and artificial variables, and construct the initial two-stage tableau. Reformulate equalities as pairs of inequalities and recognise other cases that need an initial reformulation.
AL17, AL18 - Solving linear programs with softwareSpecify an LP or ILP for a solver, read its decision values and objective in context, and distinguish an optimal result from a feasible candidate or a failed model. Software provides computing power; the formulation determines what its answer means.

Numerical Methods

Extra Pure

Further Pure with Technology