STPM Mathematics 954 key terms
STPM Mathematics 954 · Get comfortable with the vocabulary.
- Function
- Related: Domain, Range, Composite Function
A rule that assigns to each element of a domain exactly one element of a codomain. Written f: X → Y, where f(x) denotes the unique output for input x.
- Domain
- Related: Function, Range, Asymptote
The complete set of input values for which a function is defined. For a rational function, values making the denominator zero are excluded from the domain.
- Range
- Related: Function, Domain, Inverse Function
The set of all actual output values a function produces as its input varies over the domain. It is a subset of the codomain.
- Composite Function
- Related: Inverse Function, Function
A function formed by applying one function to the result of another, written f∘g with (f∘g)(x) = f(g(x)). The domain of g must lie within the domain of f.
- Inverse Function
- Related: One-to-One Function, Composite Function, Range
A function that reverses another, so f⁻¹(f(x)) = x for every x in the domain. It exists only when the original function is one-to-one.
- One-to-One Function
- Related: Inverse Function, Function
A function where distinct inputs always give distinct outputs. Its graph passes the horizontal line test, and it has an inverse function.
- Polynomial
- Related: Factor Theorem, Remainder Theorem, Partial Fractions
An expression of the form aₙxⁿ + ... + a₁x + a₀ with non-negative integer powers and real coefficients. Its degree is the highest power with a non-zero coefficient.
- Factor Theorem
- Related: Remainder Theorem, Polynomial
A polynomial P(x) has factor (x − a) exactly when P(a) = 0. Used to factorise polynomials and find their roots.
- Remainder Theorem
- Related: Factor Theorem, Polynomial
When a polynomial P(x) is divided by (x − a), the remainder equals P(a). Dividing by (ax − b) gives remainder P(b/a).
- Partial Fractions
- Related: Polynomial, Integration by Substitution
Decomposing a rational expression into a sum of simpler fractions with linear or quadratic denominators. Useful for integration and binomial expansion of rational functions.
- Modulus Function
- Related: Inequality, Function
The function |x| giving the non-negative distance of x from zero: |x| = x for x ≥ 0 and |x| = −x for x < 0. Its graph is V-shaped.
- Inequality
- Related: Modulus Function, Domain
A statement comparing two expressions using <, ≤, > or ≥. Solving it means finding all values satisfying the comparison, often expressed as an interval.
- Exponential Function
- Related: Logarithm, Asymptote
A function of the form f(x) = aˣ with a > 0 and a ≠ 1. Its graph always passes through (0, 1) and has the x-axis as a horizontal asymptote.
- Logarithm
- Related: Exponential Function, Inverse Function
The inverse of an exponential: logₐ y = x means aˣ = y. Laws include log(xy) = log x + log y and log(xⁿ) = n log x.
- Asymptote
- Related: Domain, Exponential Function
A line that a curve approaches ever more closely without necessarily meeting. Vertical asymptotes occur where a rational function's denominator is zero.
- Limit
- Related: Continuity, Derivative
The value a function approaches as its input approaches a particular point. Written lim(x→a) f(x) = L; the function need not equal L at x = a.
- Continuity
- Related: Limit, Differentiability
A function is continuous at a point when the limit there exists, equals the function's value, and the function is defined. Informally, the graph has no break.
- Derivative
- Related: Limit, Chain Rule, Product Rule
The instantaneous rate of change of a function, defined as the limit of a difference quotient. Geometrically it gives the gradient of the tangent to the curve.
- Differentiability
- Related: Derivative, Continuity
A function is differentiable at a point when its derivative exists there. Differentiability implies continuity, but continuity does not guarantee differentiability.
- Chain Rule
- Related: Derivative, Composite Function, Product Rule
A rule for differentiating composite functions: if y = f(u) and u = g(x), then dy/dx = (dy/du)(du/dx). Essential for functions such as sin(3x²).
- Product Rule
- Related: Quotient Rule, Chain Rule, Derivative
A rule for differentiating a product: if y = uv then dy/dx = u(dv/dx) + v(du/dx), where u and v are functions of x.
- Quotient Rule
- Related: Product Rule, Derivative
A rule for differentiating a quotient: if y = u/v then dy/dx = [v(du/dx) − u(dv/dx)]/v². Useful for rational functions of x.
- Stationary Point
- Related: Second Derivative, Derivative
A point on a curve where the derivative equals zero. It may be a local maximum, local minimum, or point of inflection, classified using the second derivative.
- Second Derivative
- Related: Stationary Point, Derivative
The derivative of the derivative, written d²y/dx². It measures how the gradient changes and helps classify stationary points as maxima or minima.
- Integration by Substitution
- Related: Definite Integral, Chain Rule, Partial Fractions
A technique for evaluating integrals by changing the variable, reversing the chain rule. The limits must also be converted when the integral is definite.
- Definite Integral
- Related: Integration by Substitution, Area Under a Curve
The integral of a function between two limits, written ∫ₐᵇ f(x) dx. It represents the signed area between the curve and the x-axis.
- Area Under a Curve
- Related: Definite Integral
The region between a curve y = f(x) and the x-axis from x = a to x = b, found by a definite integral. Regions below the axis count as negative.
- Vector
- Related: Scalar Product, Unit Vector, Position Vector
A quantity with both magnitude and direction, often written as a column or in i, j, k components. It differs from a scalar, which has magnitude only.
- Position Vector
- Related: Vector, Direction Vector
A vector giving the location of a point relative to a fixed origin, usually written OA for point A. Used to express lines and planes in vector form.
- Unit Vector
- Related: Vector, Scalar Product
A vector with magnitude exactly one, obtained by dividing a vector by its magnitude. The unit vectors along coordinate axes are i, j and k.
- Scalar Product
- Related: Vector, Unit Vector, Direction Vector
The dot product of vectors a and b, defined as |a||b|cos θ, giving a scalar. It is zero when the vectors are perpendicular.
- Direction Vector
- Related: Position Vector, Scalar Product, Vector
A vector parallel to a line indicating its orientation. A line through point A with direction d has equation r = a + t d, where t is a scalar parameter.
- Random Variable
- Related: Probability Distribution, Expectation, Normal Distribution
A variable whose value is a numerical outcome of a random experiment. It may be discrete, taking countable values, or continuous, taking any value in an interval.
- Probability Distribution
- Related: Random Variable, Binomial Distribution, Normal Distribution
A description of the possible values of a random variable together with their probabilities. For a discrete variable it is given by a probability function summing to one.
- Expectation
- Related: Variance, Random Variable
The mean value of a random variable, written E(X). For a discrete variable it is the sum of each value multiplied by its probability.
- Variance
- Related: Expectation, Normal Distribution, Standard Deviation
A measure of spread defined as Var(X) = E(X²) − [E(X)]². It is the average of the squared deviations from the mean; its square root is the standard deviation.
- Binomial Distribution
- Related: Probability Distribution, Normal Distribution, Random Variable
The distribution of the number of successes in n independent trials, each with the same success probability p. Written X ~ B(n, p), with mean np and variance np(1 − p).
- Normal Distribution
- Related: Standard Normal Distribution, Variance, Binomial Distribution
A continuous, symmetric bell-shaped distribution defined by its mean μ and variance σ². Written X ~ N(μ, σ²); probabilities are found by standardising to Z.
- Standard Normal Distribution
- Related: Normal Distribution, Standard Deviation
The normal distribution with mean zero and variance one, denoted Z ~ N(0, 1). Any normal variable is converted using Z = (X − μ)/σ before using tables.
- Standard Deviation
- Related: Variance, Standard Normal Distribution
The positive square root of the variance, expressed in the same units as the data. It measures the typical distance of observations from the mean.
- Null Hypothesis
- Related: Alternative Hypothesis, Significance Level, Test Statistic
The statement assumed true at the start of a significance test, usually claiming no effect or no difference. Denoted H₀ and tested against an alternative hypothesis.
- Alternative Hypothesis
- Related: Null Hypothesis, Significance Level
The statement accepted when sample evidence is strong enough to reject the null hypothesis. It may be one-tailed or two-tailed, denoted H₁.
- Significance Level
- Related: Critical Region, Null Hypothesis, Type I Error
The probability, chosen before testing, of rejecting a true null hypothesis, commonly 0.05 or 0.01. It defines the critical region of the test.
- Test Statistic
- Related: Critical Region, Null Hypothesis, Significance Level
A value calculated from sample data and compared with a critical value to decide on the null hypothesis. Examples include the sample mean standardised as a z-score.
- Critical Region
- Related: Significance Level, Test Statistic, Type I Error
The set of test statistic values that leads to rejecting the null hypothesis. Its total probability under the null hypothesis equals the significance level.
- Type I Error
- Related: Type II Error, Significance Level, Null Hypothesis
Rejecting a null hypothesis that is actually true. Its probability equals the significance level chosen for the test.
- Type II Error
- Related: Type I Error, Alternative Hypothesis
Failing to reject a null hypothesis that is actually false. Its probability is denoted β, and 1 − β is called the power of the test.
- Confidence Interval
- Related: Test Statistic, Standard Normal Distribution, Standard Deviation
A range of values, calculated from a sample, that is likely to contain an unknown population parameter. The confidence level states the long-run proportion of such intervals that capture the parameter.