Cameroon GCE A-Level Pure Mathematics with Statistics study materials
Cameroon GCE A-Level Pure Mathematics with Statistics study resources

Cameroon GCE A-Level Pure Mathematics with Statistics key terms

Cameroon GCE A-Level Pure Mathematics with Statistics · Get comfortable with the vocabulary.

Discriminant

The quantity b² − 4ac for the quadratic ax² + bx + c. Its sign tells whether the roots are real and distinct, real and equal, or a complex conjugate pair.

Related: Complex Conjugate Pair, Completing the Square
Completing the Square

Rewriting ax² + bx + c as a(x + p)² + q by adding and subtracting a constant. It reveals the vertex of the parabola and the range of the function.

Related: Discriminant, Composite Function
Composite Function

A function formed by applying one function to the output of another, written fg(x) or f(g(x)). It exists only where the inner output lies in the outer domain.

Related: Inverse Function, Domain and Range
Inverse Function

The function f⁻¹ that reverses f, so f⁻¹(f(x)) = x. It exists as a function only when f is one-to-one on its stated domain.

Related: Composite Function, Domain and Range
Domain and Range

The domain is the set of input values a function accepts; the range is the set of output values it actually produces. Both must be stated when a function is defined.

Related: Inverse Function, Composite Function
Remainder and Factor Theorem

Dividing polynomial f(x) by (x − a) leaves remainder f(a); (x − a) is a factor exactly when f(a) = 0. The theorem also fixes unknown coefficients.

Related: Partial Fractions, Binomial Expansion
Partial Fractions

Splitting a rational expression into a sum of simpler fractions with linear or repeated linear denominators. The result integrates and expands more easily than the original.

Related: Remainder and Factor Theorem, Integration by Substitution
Arithmetic Progression

A sequence in which each term differs from the previous one by a fixed constant d. The nth term is a + (n − 1)d and the sum of n terms is n/2[2a + (n − 1)d].

Related: Geometric Progression, Sum to Infinity
Geometric Progression

A sequence in which each term is a fixed multiple r of the previous one. The nth term is ar^(n−1) and the sum of n terms is a(1 − rⁿ)/(1 − r) for r ≠ 1.

Related: Sum to Infinity, Convergence of a Series
Sum to Infinity

The limiting value a/(1 − r) of a geometric series, valid only when the common ratio satisfies |r| < 1. Otherwise the series diverges and no finite sum exists.

Related: Geometric Progression, Convergence of a Series
Convergence of a Series

The property that the partial sums of a series approach a finite limit as more terms are added. For geometric series this happens precisely when the common ratio has modulus below one.

Related: Sum to Infinity, Binomial Expansion
Binomial Expansion

Writing (a + b)ⁿ as a sum of terms using binomial coefficients, with general term C(n, r)a^(n−r)b^r. For non-positive or fractional n it gives an infinite series valid for small |x|.

Related: Convergence of a Series, Remainder and Factor Theorem
Method of Differences

Summing a series by writing each term as a difference of consecutive values of a related expression, so intermediate terms cancel and only a few survive.

Related: Partial Fractions, Arithmetic Progression
Gradient of a Line

The change in y divided by the change in x between two points on a line. It measures steepness and appears as m in y = mx + c.

Related: Perpendicular Lines, Equation of a Circle
Perpendicular Lines

Two lines meeting at right angles. Their gradients m₁ and m₂ satisfy m₁m₂ = −1, so each gradient is the negative reciprocal of the other.

Related: Gradient of a Line, Normal to a Curve
Equation of a Circle

The form (x − a)² + (y − b)² = r², describing all points at distance r from centre (a, b). Expanding it gives x² + y² + 2gx + 2fy + c = 0.

Related: Completing the Square, Gradient of a Line
Parametric Equations

A pair x = f(t), y = g(t) describing a curve through a third variable t. Differentiation then uses dy/dx = (dy/dt) ÷ (dx/dt).

Related: Chain Rule, Normal to a Curve
Radians

The angle measure defined so that a full turn is 2π. Arc length is rθ and sector area is ½r²θ when θ is in radians.

Related: Small Angle Approximation, Compound Angle Formulae
Compound Angle Formulae

Identities such as sin(A ± B) = sinA cosB ± cosA sinB and the matching cosine and tangent forms. They expand trigonometric expressions involving sums or differences of angles.

Related: Double Angle Formulae, Radians
Double Angle Formulae

Identities expressing trigonometric ratios of 2A through A, for example sin2A = 2sinA cosA and cos2A = cos²A − sin²A. They are used to simplify and to integrate.

Related: Compound Angle Formulae, Integration by Substitution
Small Angle Approximation

For small θ in radians, sinθ ≈ θ, tanθ ≈ θ and cosθ ≈ 1 − θ²/2. These replace trigonometric terms by polynomials in limiting and modelling problems.

Related: Radians, Maclaurin Series
General Solution of a Trigonometric Equation

The complete set of angles satisfying an equation, obtained by adding whole periods to a principal value, for example x = 180n° + (−1)ⁿα for sinx = sinα.

Related: Radians, Double Angle Formulae
Chain Rule

The rule dy/dx = dy/du × du/dx for differentiating a function of a function. It underlies related rates, parametric differentiation and integration by substitution.

Related: Parametric Equations, Integration by Substitution
Product and Quotient Rules

Rules for differentiating products and quotients: (uv)′ = u′v + uv′ and (u/v)′ = (u′v − uv′)/v². Both are needed for rational and mixed trigonometric expressions.

Related: Chain Rule, Implicit Differentiation
Implicit Differentiation

Differentiating an equation relating x and y term by term, treating y as a function of x and applying the chain rule, then solving for dy/dx.

Related: Chain Rule, Product and Quotient Rules
Normal to a Curve

The line through a point on a curve perpendicular to the tangent there. Its gradient is the negative reciprocal of the curve's gradient at that point.

Related: Perpendicular Lines, Stationary Point
Stationary Point

A point where the first derivative is zero. The second derivative decides whether it is a maximum, a minimum, or a point of inflection.

Related: Normal to a Curve, Definite Integral
Integration by Substitution

Replacing a variable in an integral by a new one so the integrand becomes standard. Limits must be converted when the integral is definite.

Related: Chain Rule, Definite Integral
Definite Integral

The limit of a sum of areas, written ∫ from a to b of f(x) dx, evaluated as F(b) − F(a) for an antiderivative F. It gives signed area under a curve.

Related: Integration by Substitution, Stationary Point
Integration by Parts

The rule ∫u dv = uv − ∫v du, used for products such as x·eˣ or x·cosx. Choice of u follows the usual priority of functions.

Related: Product and Quotient Rules, Definite Integral
Maclaurin Series

The expansion f(x) = f(0) + xf′(0) + (x²/2!)f″(0) + …, giving polynomial approximations such as eˣ, sinx and ln(1 + x).

Related: Small Angle Approximation, Binomial Expansion
Scalar Product

The number a·b = |a||b|cosθ formed from two vectors. It tests perpendicularity, since a·b = 0 exactly when the vectors meet at right angles.

Related: Vector Equation of a Line, Determinant of a Matrix
Vector Equation of a Line

The form r = a + tb, where a is a fixed position vector, b a direction vector and t a scalar parameter. It describes every point on the line.

Related: Scalar Product, Parametric Equations
Determinant of a Matrix

A number computed from a square matrix; for a 2×2 matrix with entries a, b, c, d it is ad − bc. A zero determinant means the matrix has no inverse.

Related: Inverse of a Matrix, Scalar Product
Inverse of a Matrix

The matrix A⁻¹ satisfying AA⁻¹ = I. For 2×2 matrices it is (1/det A) times the matrix with a and d swapped and b and c negated.

Related: Determinant of a Matrix, Augmented Matrix
Augmented Matrix

A coefficient matrix written alongside the constant column and reduced by row operations to solve simultaneous linear equations.

Related: Inverse of a Matrix, Determinant of a Matrix
Modulus and Argument

For a complex number z = x + iy, the modulus |z| is √(x² + y²) and the argument is the angle its vector makes with the positive real axis, usually taken in (−π, π].

Related: Polar Form, Complex Conjugate Pair
Polar Form

Writing a complex number as r(cosθ + isinθ), where r is the modulus and θ the argument. It makes multiplication, division and powers straightforward.

Related: Modulus and Argument, De Moivre's Theorem
De Moivre's Theorem

The result that [r(cosθ + isinθ)]ⁿ = rⁿ(cos nθ + isin nθ). It gives powers and roots of complex numbers and derives trigonometric identities.

Related: Polar Form, Modulus and Argument
Complex Conjugate Pair

Two roots of the form a ± ib that occur together when a polynomial with real coefficients has non-real roots. Their sum 2a is real and their product a² + b² is real.

Related: Discriminant, Modulus and Argument
Conditional Probability

The probability of event A given that B has occurred, written P(A|B) = P(A ∩ B)/P(B) for P(B) > 0. It underlies tree diagrams and Bayes-type reasoning.

Related: Independent Events, Mutually Exclusive Events
Independent Events

Events whose occurrence does not affect each other's probability, so P(A ∩ B) = P(A)P(B). Equivalently P(A|B) = P(A).

Related: Conditional Probability, Mutually Exclusive Events
Mutually Exclusive Events

Events that cannot happen together, so P(A ∩ B) = 0 and P(A ∪ B) = P(A) + P(B). They are not independent unless one has probability zero.

Related: Independent Events, Conditional Probability
Binomial Distribution

The distribution of the number of successes in n independent trials each with the same success probability p. Its mean is np and variance np(1 − p).

Related: Normal Distribution, Poisson Distribution
Poisson Distribution

A model for counts of rare events in a fixed interval, with P(X = r) = e^(−λ)λʳ/r!. Its mean and variance both equal λ.

Related: Binomial Distribution, Normal Distribution
Normal Distribution

A symmetric bell-shaped continuous distribution fixed by mean μ and variance σ². Standardising with z = (x − μ)/σ lets tables of the standard normal be used.

Related: Standard Normal Variable, Continuity Correction
Standard Normal Variable

The variable Z with mean 0 and variance 1 obtained by z = (x − μ)/σ. Its cumulative probabilities are read from printed tables.

Related: Normal Distribution, Continuity Correction
Continuity Correction

The adjustment of a discrete value by 0.5 when a discrete distribution is approximated by a continuous one, for example P(X ≥ 7) becomes P(Y > 6.5).

Related: Normal Distribution, Binomial Distribution
Mean, Median and Mode

Three measures of central tendency: the arithmetic average, the middle value of ordered data, and the most frequent value. Each suits different data types and shapes.

Related: Standard Deviation, Cumulative Frequency Curve
Standard Deviation

The square root of the variance, measuring the typical spread of values about the mean in the original units. A small value means values cluster tightly.

Related: Mean, Median and Mode, Coded Data
Cumulative Frequency Curve

A graph of running totals against upper class boundaries. Quartiles and the median are read off at 25%, 50% and 75% of the total frequency.

Related: Mean, Median and Mode, Histogram
Histogram

A bar chart for continuous data in which bar area, not height, represents frequency. Heights are therefore frequency densities when class widths differ.

Related: Cumulative Frequency Curve, Standard Deviation
Coded Data

Data transformed by y = (x − a)/b to simplify calculation. The mean and standard deviation transform by the same rule, while the variance scales by b².

Related: Standard Deviation, Mean, Median and Mode
Unbiased Estimator

A statistic whose expected value equals the population parameter it estimates. The sample mean is unbiased for μ, while the sample variance uses divisor n − 1.

Related: Confidence Interval, Central Limit Theorem
Central Limit Theorem

The result that sample means from a large sample are approximately normally distributed about the population mean, with standard error σ/√n, whatever the population shape.

Related: Unbiased Estimator, Confidence Interval
Confidence Interval

A range of plausible values for a population parameter, built as estimate ± z × standard error. The stated percentage gives the long-run capture rate.

Related: Unbiased Estimator, Significance Level
Null and Alternative Hypotheses

The null hypothesis H₀ states no effect or no change and is assumed true during the test; the alternative H₁ states the claim being tested, one- or two-sided.

Related: Significance Level, Type I and Type II Errors
Significance Level

The probability, chosen before testing, of rejecting a true null hypothesis, commonly 5% or 1%. It fixes the critical region against which the test statistic is compared.

Related: Null and Alternative Hypotheses, Type I and Type II Errors
Type I and Type II Errors

A Type I error rejects a true null hypothesis; a Type II error fails to reject a false one. Lowering the significance level reduces Type I risk but raises Type II risk.

Related: Significance Level, Null and Alternative Hypotheses