ORT Mathematics study materials
ORT Mathematics study resources

ORT Mathematics cheat sheet

ORT Mathematics · Keep the key ideas within reach.

Quick reference

Number and Quantity

  • Order of operations: evaluate grouping symbols first, then exponents, then multiplication and division left to right, then addition and subtraction left to right.

  • Exponent rules: a^m · a^n = a^(m+n); a^m / a^n = a^(m−n); (a^m)^n = a^(mn); a^(−n) = 1/a^n; a^0 = 1 for a ≠ 0.

  • Scientific notation writes a number as a × 10^n with 1 ≤ |a| < 10; to multiply, multiply the coefficients and add the exponents.

  • Percent change = (new − old) / old × 100%; successive percent changes multiply as factors (1 ± r), they never simply add.

  • Divisibility tests: by 3 or 9 when the digit sum is divisible by 3 or 9; by 4 when the last two digits form a multiple of 4; by 6 when divisible by both 2 and 3.

  • A number is rational exactly when it can be written p/q with integers p and q, q ≠ 0; √n is irrational unless n is a perfect square.

  • For a ≥ 0, |x| = a means x = a or x = −a; |x| is the distance from x to 0 on the number line, so |x| ≥ 0 always.

  • For positive integers a and b, gcd(a, b) × lcm(a, b) = a × b.

  • Complex numbers use i² = −1: (a + bi)(c + di) = (ac − bd) + (ad + bc)i, and |a + bi| = √(a² + b²).

Quick reference

Algebra and Functions

  • Slope between two points: m = (y₂ − y₁)/(x₂ − x₁); parallel lines have equal slopes, perpendicular lines have slopes whose product is −1.

  • Line equations: slope-intercept y = mx + b and point-slope y − y₁ = m(x − x₁); a vertical line has undefined slope and equation x = k.

  • Quadratic formula: x = (−b ± √(b² − 4ac)) / (2a) for ax² + bx + c = 0 with a ≠ 0.

  • Discriminant b² − 4ac: positive gives two distinct real roots, zero gives one repeated real root, negative gives no real roots.

  • A parabola y = ax² + bx + c has its vertex at x = −b/(2a); it opens upward when a > 0 and downward when a < 0.

  • Factoring patterns: a² − b² = (a − b)(a + b); a³ − b³ = (a − b)(a² + ab + b²); a³ + b³ = (a + b)(a² − ab + b²).

  • Logarithm laws: log(ab) = log a + log b, log(a/b) = log a − log b, log(a^k) = k log a, and change of base log_b x = ln x / ln b.

  • Exponential models: y = A·b^t with b > 1 for growth and 0 < b < 1 for decay; A is the value at t = 0.

  • Composition (f ∘ g)(x) = f(g(x)); an inverse f⁻¹ satisfies f(f⁻¹(x)) = x and reverses domain and range.

  • A linear system has one solution when slopes differ, none when slopes match but intercepts differ, and infinitely many when both match.

Quick reference

Geometry and Measurement

  • Area: triangle ½bh, parallelogram bh, trapezoid ½(b₁ + b₂)h, circle πr².

  • Circle measures: circumference = 2πr; arc length = (θ/360°) × 2πr; sector area = (θ/360°) × πr² for a central angle θ in degrees.

  • Volume: prism and cylinder V = Bh (B = base area); pyramid and cone V = (1/3)Bh; sphere V = (4/3)πr³ with surface area 4πr².

  • Pythagorean theorem: a² + b² = c² in a right triangle with hypotenuse c; common triples are 3-4-5, 5-12-13, 8-15-17.

  • Special right triangles: 45°-45°-90° sides are in ratio 1 : 1 : √2; 30°-60°-90° sides are in ratio 1 : √3 : 2.

  • Similar figures with side ratio k have area ratio k² and volume ratio k³; corresponding angles remain equal.

  • Coordinate geometry: distance = √((x₂ − x₁)² + (y₂ − y₁)²); midpoint = ((x₁ + x₂)/2, (y₁ + y₂)/2).

  • The interior angles of an n-sided polygon sum to (n − 2) × 180°; in a regular n-gon each interior angle is (n − 2)180°/n.

  • Unit conversion multiplies by ratios equal to 1; converting area squares the linear factor and converting volume cubes it.

Quick reference

Statistics and Probability

  • Mean = sum of values / count; median = middle value of ordered data (average of the two middle values for even counts); mode = most frequent value.

  • Range = maximum − minimum; standard deviation measures typical distance from the mean, so it is never negative and is 0 only for constant data.

  • Adding a constant c to every data value adds c to the mean but leaves the standard deviation unchanged; multiplying every value by k multiplies the standard deviation by |k|.

  • For equally likely outcomes, P(E) = favourable outcomes / total outcomes, and 0 ≤ P(E) ≤ 1 with P(not E) = 1 − P(E).

  • General addition rule: P(A or B) = P(A) + P(B) − P(A and B); the last term is zero for mutually exclusive events.

  • Independent events satisfy P(A and B) = P(A) × P(B); conditional probability is P(A | B) = P(A and B) / P(B) when P(B) > 0.

  • Counting: permutations nPr = n!/(n − r)! for ordered arrangements; combinations nCr = n!/(r!(n − r)!) for unordered selections.

  • Normal distribution: roughly 68% of values fall within 1 standard deviation of the mean, 95% within 2, and 99.7% within 3; z = (x − μ)/σ.

  • Correlation coefficient r lies in [−1, 1]; |r| near 1 indicates a strong linear association, and correlation alone does not establish causation.

  • Box plots: IQR = Q3 − Q1; values below Q1 − 1.5·IQR or above Q3 + 1.5·IQR are flagged as outliers.

Quick reference

Mathematical Modelling and Reasoning

  • Modelling cycle: formulate a model from the real situation, solve it mathematically, interpret the output in context, validate against data, then revise assumptions if validation fails.

  • A linear model has a constant absolute rate of change; an exponential model has a constant percentage rate of change per equal time step.

  • Dimensional analysis: units are carried through each operation, and both sides of a valid equation must reduce to identical units.

  • Direct proportion means y = kx, so y/x is constant; inverse proportion means y = k/x, so the product xy is constant.

  • A rate equation relates quantities as distance = rate × time; combined work rates add as reciprocals, 1/t_total = 1/t₁ + 1/t₂.

  • Inductive reasoning generalises from observed patterns and yields conjectures, while deductive reasoning derives conclusions from stated premises and yields proofs.

  • A single counterexample disproves a universal statement, but confirming examples never prove one.

  • Extrapolation predicts outside the observed data range and carries far more risk than interpolation between known points.

  • Rounding error accumulates through intermediate steps, so precision is retained until the final answer and only then rounded to the required place.