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IB Mathematics Applications and Interpretation

132 of 132 topics written so far. Greyed-out topics are coming soon.

Units marked HL are for Higher Level only. Everything else is for both SL and HL.

Unit 1: Number and Algebra

  1. 1Scientific Notation

    Patterns in powers of 10, how the sign and size of an exponent change a power, and writing, converting and calculating with very large and very small numbers.

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  2. 2Arithmetic Sequences

    Sequences that add the same amount each time — the common difference, the general term t_n = a + (n − 1)d, and problems.

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  3. 3Arithmetic Series

    Adding the terms of an arithmetic sequence quickly with S_n = n/2 (2a + (n − 1)d), and why the formula works.

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  4. 4Sigma Notation

    Reading and writing sums with Σ, counting terms, evaluating arithmetic and geometric sums written in sigma form, changing the index, and checking with a GDC.

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  5. 5Geometric Sequences

    Sequences that multiply by the same amount each time — the common ratio, the general term t_n = ar^(n − 1), and problems.

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  6. 6Geometric Series

    Adding the terms of a geometric sequence with S_n = a(r^n − 1)/(r − 1), and why the formula works.

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  7. 7Compound Interest

    Interest on interest — A = P(1 + i)^n, compounding periods, present value, and finding the rate or time.

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  8. 8Appreciation and Depreciation

    How things gain or lose value over time — straight-line and percent depreciation, percent appreciation, year-by-year tables, reading value graphs, and buying new vs. used.

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  9. 9Exponent Laws

    The product, quotient and power laws, what zero and negative exponents mean, and how the graph of y = 2^x compares with y = x².

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  10. 10Introduction to Logarithms

    A logarithm is an exponent — evaluating logs, switching between exponential and logarithmic form, and estimating logs between whole numbers.

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  11. 11Rounding, Bounds and Error

    Decimal places and significant figures, upper and lower bounds of rounded numbers and of calculations, percentage error, and checking that answers are reasonable.

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  12. 12Annuities: Future Value

    Regular deposits that earn compound interest — the future value formula, why it's a geometric series, and finding the payment.

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  13. 13Annuities: Present Value

    How much a series of future payments is worth today — loans, regular withdrawals, and the present value formula.

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  14. 14Loan Amortization

    Using a GDC finance solver (N, I%, PV, PMT, FV, P/Y, C/Y) for loans and annuities, building amortization tables, finding balances and total interest, and comparing loan options.

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  15. 15Systems and Polynomials with Technology

    Using a GDC to solve systems of linear equations in up to three variables and polynomial equations, setting them up from contexts, and interpreting the results.

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Unit 2: Number and Algebra HL

  1. 1Laws of Logarithms

    The product, quotient, and power laws, the change of base formula, and using them to simplify and evaluate expressions.

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  2. 2Rational Exponents

    What fractional exponents like 8^(2/3) mean, how to evaluate and simplify them, and how to rewrite powers in a different base.

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  3. 3Infinite Geometric Series

    When an infinite geometric series converges, its sum a/(1 − r), and how to use it for repeating decimals, shifted indices, and bouncing-ball problems.

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  4. 4Introduction to Complex Numbers

    The number i, Cartesian form a + bi, real and imaginary parts, conjugate, modulus and argument, the Argand diagram, complex arithmetic, and quadratics with a negative discriminant.

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  5. 5Polar and Euler Form of Complex Numbers

    Writing complex numbers as r cis θ and re^(iθ), converting between forms, multiplying and dividing as rotations and stretches, and adding sinusoidal waves with complex numbers.

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  6. 6Introduction to Matrices

    What a matrix is (elements, rows, columns, order), matrix equality, addition, subtraction and scalar multiplication, matrix multiplication and its properties, identity and zero matrices, and practical uses.

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  7. 7Determinants and Inverse Matrices

    Determinants and inverses of 2 × 2 matrices by hand and larger matrices with technology, singular matrices, solving systems AX = B with an inverse matrix, and coding and decoding messages.

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  8. 8Eigenvalues and Eigenvectors

    Eigenvalues and eigenvectors of 2 × 2 matrices, the characteristic polynomial, diagonalization, and using A to the power n = PDⁿP⁻¹ to predict long-term behaviour.

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Unit 3: Functions

  1. 1Equations of Lines

    The slope formula, zero and undefined slopes, finding a line's equation from a graph, a table, a point and slope, or two points, and switching between y = mx + b, Ax + By + C = 0 and Ax + By = D.

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  2. 2Parallel and Perpendicular Lines

    Parallel lines have equal slopes and perpendicular lines have negative reciprocal slopes. Testing pairs of lines and finding equations of parallel and perpendicular lines through a point.

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  3. 3Function Notation

    Writing f(x), evaluating functions, and solving f(x) = a value — from equations, tables, and graphs.

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  4. 4Domain and Range

    Finding the set of possible inputs and outputs of a function from graphs, equations, and real-world situations.

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  5. 5Inverse Functions

    Undoing a function — finding, graphing, and checking inverses.

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  6. 6Key Features of Graphs

    Sketching graphs from information or a GDC screen, finding intercepts, maximums and minimums, symmetry and asymptotes with technology, intersecting curves, and graphing sums and differences of functions.

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  7. 7Vertex Form and Transformations

    Graphing y = a(x − h)² + k as a transformation of y = x², sketching by hand with the step pattern, and finding the equation of a parabola from its graph.

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  8. 8Exponential Growth and Decay

    Modelling populations, depreciation, half-life, and doubling with exponential functions, and solving real-world problems.

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  9. 9Direct and Inverse Variation

    Models of the form f(x) = axⁿ — direct variation, inverse variation and inverse-square laws — plus cubic models, finding parameters, and the modelling cycle (IB AI SL 2.5, 2.6).

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  10. 10Sinusoidal Modelling

    Building and using sinusoidal models for Ferris wheels, tides, temperatures, and daylight, in degrees.

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  11. 11Function Modelling

    Building linear, quadratic, exponential, sinusoidal, and polynomial models from data, checking how well they fit, and using them to predict and interpret real situations.

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Unit 4: Functions HL

  1. 1Composition of Functions

    Putting one function inside another — finding f(g(x)) from tables, graphs, and equations, its domain and range, decomposing functions, and real-world chains.

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  2. 2Combining Transformations

    Graphing y = af(k(x − d)) + c by applying stretches, reflections, and translations in the right order.

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  3. 3Exponential and Logarithmic Applications

    Using logarithms to find the time in growth and decay problems — doubling time, half-life, compound interest, populations, and cooling — and reading answers from graphs.

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  4. 4Logistic Models

    The logistic differential equation dP/dt = kP(1 − P/L) — carrying capacity, long-run behaviour, where growth is fastest, and the solution formula.

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  5. 5Piecewise Models

    Functions defined by different rules on different intervals — tax brackets, shipping costs, phone plans and speed profiles — including evaluating, graphing, making the pieces join, and solving for inputs (IB AI AHL 2.9).

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  6. 6Logarithmic Scales

    pH, earthquake magnitude, and decibels — why each step on a logarithmic scale means multiplying by 10, and how to compare and solve with them.

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  7. 7Linearizing Data with Logarithms

    Using logarithms to scale data, and semi-log and log-log graphs to decide whether data is exponential or a power law and to find the parameters of the model (IB AI AHL 2.10).

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Unit 5: Geometry and Trigonometry

  1. 1Vectors in Three Dimensions

    The right-handed 3-D coordinate system, plotting points, vectors [x, y, z] and the unit vectors i, j, k, magnitude, distance between points, operations in component form, and collinearity.

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  2. 2Surface Area of 3-D Objects

    Using nets to find the surface area of prisms, cylinders, square-based pyramids and cones, including slant height and composite objects.

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  3. 3Volume of 3-D Objects

    Volume of prisms, cylinders, pyramids and cones (and spheres), the one-third relationship, capacity in millilitres and litres, and composite objects.

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  4. 4Spheres, Cones, Pyramids and Composite Solids

    Volume and surface area of spheres, hemispheres, right pyramids and right cones, and of solids built from them, with answers to 3 significant figures.

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  5. 5Angles in 3-D Solids

    Finding the angle between two lines and between a line and a plane in cuboids, pyramids and cones, by spotting the right triangle, with 3-D distance and midpoint along the way.

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  6. 6The Primary Trigonometric Ratios

    Sine, cosine and tangent in right triangles — naming the sides, SOH CAH TOA, and finding missing sides and angles.

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  7. 7The Sine Law

    Solving any triangle when you know two angles and a side, using a/sin A = b/sin B = c/sin C.

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  8. 8The Cosine Law

    Solving triangles from two sides and the angle between them, or from three sides, using c² = a² + b² − 2ab cos C.

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  9. 9Area of a Triangle Using Sine

    The formula Area = ½ab sin C, where it comes from, using it with the sine and cosine rules, and finding an angle from a known area.

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  10. 10Right Triangle Problems

    Angles of elevation and depression, clinometers, ladders, ramps, navigation, and problems with two right triangles.

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  11. 11Trig Problems in Three Dimensions

    Solving 3-D problems — towers, cliffs, boxes, and pyramids — by splitting them into 2-D right and oblique triangles.

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  12. 12Arc Length and Sector Area

    Arc length, sector area and sector perimeter with the angle in degrees or radians, and the area of a segment as a sector minus a triangle.

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  13. 13Right Bisectors and Distance to a Line

    Finding the equation of the right bisector of a segment, the shortest distance from a point to a line, and the circumcentre of a triangle.

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  14. 14Voronoi Diagrams

    Sites, cells, edges and vertices; edges as perpendicular bisectors; adding a site; nearest-neighbour interpolation; and the toxic waste dump problem.

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Unit 6: Geometry and Trigonometry HL

  1. 1Radian Measure

    What a radian is, converting between degrees and radians, arc length a = rθ, and angular velocity.

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  2. 2Trig Ratios in Radians

    Primary and reciprocal trig ratios of angles in radians, with a calculator and exactly for the special angles, using the CAST rule and related acute angles.

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  3. 3The Ambiguous Case

    When two sides and a non-included angle (SSA) give no triangle, one triangle, or two — and how to find them all.

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  4. 4Solving Linear Trig Equations

    Solving equations like 2 sin x + 1 = 0 for 0 ≤ x ≤ 2π in radians, with exact answers from special angles, decimal answers from related angles, and equations with kx.

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  5. 5Matrix Transformations

    Using 2 × 2 matrices and vectors to reflect, stretch, enlarge, rotate and translate points in the plane, combining transformations in the right order, and the determinant as the area scale factor.

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  6. 6Introduction to Vectors

    Scalars vs vectors, magnitude and direction, vector notation, equal and opposite vectors, and describing directions with bearings and angles.

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  7. 7Cartesian Vectors

    Writing 2-D vectors in component form [x, y], position vectors, converting between components and magnitude-direction, the vector between two points, unit vectors i and j, and operations in component form.

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  8. 8Scalar Multiplication of Vectors

    Multiplying a vector by a number, collinear vectors, unit vectors, the distributive properties, linear combinations, and simple geometric proofs with vectors.

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  9. 9Equations of Lines in 3-Space

    Vector, parametric, and symmetric equations of a line in 3-space, why a line has no single scalar equation, and writing a line as the intersection of two planes.

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  10. 10Vector Kinematics

    Position, velocity, and speed for objects moving in a straight line with constant velocity, when and where two objects meet, closest approach, and (AI HL) motion with variable velocity in 2-D.

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  11. 11The Dot Product

    Multiplying two vectors to get a number — the geometric and component formulas, the angle between vectors, perpendicular vectors, properties, and work.

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  12. 12The Cross Product

    Multiplying two vectors in 3-space to get a perpendicular vector — the component formula, the determinant shortcut, the right-hand rule, the magnitude formula, and properties.

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  13. 13Vector Projections

    The scalar and vector projection of one vector onto another, splitting a vector into parallel and perpendicular parts, direction cosines, and applications to forces and work.

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  14. 14Introduction to Graph Theory

    Vertices, edges, degree and the handshake lemma, simple, complete, weighted and directed graphs, subgraphs and trees.

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  15. 15Adjacency Matrices

    Representing graphs with adjacency matrices and weighted tables, counting walks with powers of the matrix, and building transition matrices for random walks on a graph.

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  16. 16Eulerian and Hamiltonian Paths

    Walks, trails, paths, circuits and cycles; when a graph has an Eulerian trail or circuit (the odd-vertex test); and Hamiltonian paths and cycles.

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  17. 17Minimum Spanning Trees

    Spanning trees, and finding a minimum spanning tree with Kruskal's algorithm and Prim's algorithm, including Prim's matrix (table) method.

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  18. 18The Chinese Postman Problem

    Finding the shortest closed route that travels along every edge of a weighted graph, by pairing the odd vertices and repeating the shortest paths between them.

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  19. 19The Travelling Salesman Problem

    Finding a Hamiltonian cycle of least weight; tables of least distances, an upper bound from the nearest-neighbour algorithm, and a lower bound from the deleted-vertex algorithm.

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Unit 7: Statistics and Probability

  1. 1Types of Data

    Why statistical studies collect data, why data varies, and how to classify variables and data sets.

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  2. 2Sampling Methods

    Populations and samples, random and non-random sampling methods, and organizing data in a spreadsheet.

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  3. 3Bias in Sampling

    How sampling bias, non-response bias, response bias, and measurement bias distort results, and how to reduce them.

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  4. 4Displaying One-Variable Data

    Choosing the right graph for the data — bar and circle graphs, histograms, stem-and-leaf plots, and boxplots — and spotting graphs that mislead.

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  5. 5Cumulative Frequency

    Cumulative frequency tables and graphs for grouped data, reading off the median, quartiles, percentiles and IQR, and turning the results into a box-and-whisker diagram.

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  6. 6Quartiles and Percentiles

    Quartiles, the interquartile range, the five-number summary, the 1.5 × IQR rule for outliers, boxplots, and percentiles.

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  7. 7Measures of Central Tendency

    Mean, median, and mode; weighted means; estimating the mean from grouped data; the effect of outliers; and choosing the best measure.

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  8. 8Standard Deviation

    Measuring spread with the range, variance, and standard deviation — population vs sample formulas, by hand and with technology.

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  9. 9Scatter Plots and Correlation

    Independent and dependent variables, scatter plots, describing a relationship, the correlation coefficient r, and side-by-side boxplots.

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  10. 10Linear Regression

    The line of best fit by least squares, interpreting slope and intercept, interpolation and extrapolation, residuals, and the effect of outliers.

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  11. 11Probability and Sample Spaces

    Outcomes, sample spaces, and events; theoretical probability for equally likely outcomes; and probability distributions.

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  12. 12Complements and Mutually Exclusive Events

    The complement rule, mutually exclusive events, the additive principle for P(A or B), and Venn diagrams.

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  13. 13Independent and Dependent Events

    When one event affects another, multiplying probabilities for "and", drawing with and without replacement, and tree diagrams.

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  14. 14Conditional Probability

    The probability of B given A, from formulas, two-way tables, and tree diagrams — and why the order matters.

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  15. 15Discrete Random Variables

    Random variables, probability distributions in tables, probability histograms, and the uniform distribution.

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  16. 16Expected Value

    The long-run average of a random variable — computing E(X), fair games, raffles, and the link to the weighted mean.

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  17. 17Binomial Distribution

    Counting successes in independent trials — the binomial conditions and formula, tables and histograms, E(X) = np, and how the shape changes with n.

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  18. 18The Normal Distribution

    The bell-shaped normal model, its properties, the notation X ~ N(μ, σ²), and estimating probabilities with the 68–95–99.7 rule.

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  19. 19Spearman's Rank Correlation

    Ranking data (including tied ranks), finding Spearman's rank correlation coefficient with technology, and choosing between Pearson's r and Spearman's rs.

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  20. 20Introduction to Hypothesis Testing

    Null and alternative hypotheses, significance levels, p-values, critical values, one-tailed and two-tailed tests, and how to write a conclusion in context.

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  21. 21Chi-Squared Tests

    Observed and expected frequencies, the χ² goodness-of-fit test, and the χ² test for independence in contingency tables — degrees of freedom, critical values, p-values and conclusions in context.

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  22. 22The t-Test

    Using the pooled two-sample t-test to compare the means of two populations — hypotheses, one- and two-tailed tests, p-values from technology, assumptions and conclusions in context.

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Unit 8: Statistics and Probability HL

  1. 1Survey and Experiment Design

    Randomization, replication, and control in experiments; and writing fair, ethical surveys with clear questions.

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  2. 2Non-linear Regression

    Fitting quadratic, cubic, exponential, power and sine regression curves with technology, measuring fit with the sum of square residuals and the coefficient of determination R², and choosing between models (IB AI AHL 4.13).

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  3. 3Linear Combinations of Random Variables

    How the mean and variance change when you scale, shift, add, or subtract random variables — and why the sample mean and s²ₙ₋₁ are unbiased estimates.

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  4. 4The Central Limit Theorem

    Sums and differences of independent normal variables, the distribution of the sample mean, and why sample means are approximately normal for large samples from any population.

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  5. 5Confidence Intervals for the Mean

    Estimating a population mean with an interval — the z-interval when σ is known, the t-interval when it isn't, what the confidence level really means, and how sample size and level affect the width.

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  6. 6The Poisson Distribution

    Modelling the number of random events in a fixed interval — the Poisson conditions and formula, mean and variance both equal to m, changing the interval, sums of Poisson variables, and choosing between binomial, Poisson, and normal models.

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  7. 7Hypothesis Tests for Parameters

    Critical values and critical regions; testing a mean (z-test and one-sample or paired t-test), a binomial proportion, and a Poisson mean; testing whether ρ = 0 with technology; and calculating the probabilities of Type I and Type II errors.

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  8. 8Markov Chains

    Transition diagrams and matrices, initial state matrices, powers of transition matrices, regular Markov chains, and steady-state (long-term) probabilities.

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Unit 9: Calculus

  1. 1Introduction to Limits

    The idea of a limit — what a function approaches near a point, limit notation, one-sided limits, and when a limit does not exist.

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  2. 2The Definition of the Derivative

    The derivative as a limit, derivative notation, tangent lines, and estimating derivatives from tables and graphs.

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  3. 3First Derivative Test

    Finding where a function increases and decreases from the sign of f', building sign charts, and using the first derivative test to classify relative extrema.

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  4. 4The Power Rule and Basic Derivative Rules

    Differentiating powers of x (including negative and fractional exponents), constants, sums, differences, and constant multiples.

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  5. 5Tangents and Normals

    Equations of the tangent and normal to a curve at a point, finding where the tangent has a given gradient, tangents through an outside point, and using technology for gradients.

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  6. 6Antiderivatives and Indefinite Integrals

    Finding antiderivatives with the basic rules (power, 1/x, exponential, trig, inverse trig), the + C, and solving initial-value problems.

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  7. 7Evaluating Definite Integrals with the FTC

    The Fundamental Theorem of Calculus, part 2 — evaluating a definite integral as F(b) − F(a) using an antiderivative, and the net change theorem.

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  8. 8Critical Points and Extrema

    Absolute and relative maximums and minimums, the Extreme Value Theorem, and finding critical points where f'(x) = 0 or f'(x) does not exist.

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  9. 9Optimization

    Setting up and solving optimization problems with derivatives — variables, constraint, objective function, domain — and justifying the answer for fencing, boxes, cans, cost, and distance.

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  10. 10Riemann Sums

    Approximating the area under a curve with left, right, midpoint, and trapezoidal sums, from graphs, tables, and formulas.

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Unit 10: Calculus HL

  1. 1Derivatives of Sine, Cosine, eˣ, and ln x

    The derivatives of sin x, cos x, e^x, and ln x, why radians matter, and using them with the basic derivative rules.

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  2. 2The Chain Rule

    Differentiating composite functions with f'(g(x)) · g'(x) and dy/du · du/dx — powers, trig, exponential, and log compositions, tables of values, and choosing which rules to combine.

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  3. 3The Product Rule

    Differentiating a product of two (or three) functions, including from tables of values and in context.

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  4. 4The Quotient Rule and Trig Derivatives

    Differentiating quotients, and using the quotient rule to find the derivatives of tan x, cot x, sec x, and csc x.

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  5. 5Related Rates Problems

    A step-by-step strategy for multi-step related rates — sliding ladders, filling cones, moving shadows, and approaching cars.

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  6. 6Higher-Order Derivatives

    Second, third, and higher derivatives — notation like f''(x), d²y/dx², and y'', what the second derivative means, and second derivatives of implicit relations.

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  7. 7Concavity and the Second Derivative Test

    Concave up and concave down from the sign of f'', points of inflection, and the second derivative test for relative extrema — including when it's inconclusive.

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  8. 8Integration by Substitution

    Undoing the chain rule with u-substitution, for indefinite and definite integrals (including changing the limits), and choosing an integration technique.

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  9. 9Area Between Curves

    Finding the area between two curves with vertical slices — top minus bottom, finding intersection points, and splitting the integral when the curves cross more than twice.

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  10. 10Area Between Curves Using Horizontal Slices

    Integrating with respect to y — right minus left, rewriting curves as x in terms of y, and choosing the slice direction that makes the problem easier.

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  11. 11Volumes of Revolution — the Disc Method

    Spinning a region around a line to make a solid — discs with radius R, revolving about the x-axis, the y-axis, and other horizontal or vertical lines.

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  12. 12Straight-Line Motion with Derivatives

    Position, velocity, and acceleration of a particle on a line — speed, direction, changing direction, and speeding up versus slowing down.

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  13. 13Motion Along a Line with Integrals

    Going backwards from velocity to position — initial conditions, displacement versus total distance, and velocity from acceleration.

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  14. 14Separation of Variables

    Solving separable differential equations, finding particular solutions from initial conditions, and stating where a solution is defined.

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  15. 15Slope Fields

    Sketching slope fields from a differential equation, matching fields to equations, and drawing and reading solution curves.

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  16. 16Euler's Method

    Approximating a solution of a differential equation step by step with tangent lines, organizing the work in a table, and deciding whether the estimate is too high or too low.

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  17. 17Euler's Method for Coupled Systems

    Using Euler's method on coupled differential equations such as predator–prey models, setting up step-by-step tables and spreadsheets, and solving second-order equations by rewriting them as a coupled system.

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  18. 18Phase Portraits

    Coupled linear systems dx/dt = ax + by, dy/dt = cx + dy — solving with eigenvalues and eigenvectors, and sketching phase portraits for saddles, nodes, spirals and centres to describe long-term behaviour.

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