Math Formulas Reference

Common math formulas quick lookup, browsable by subject.

Geometry 9

Circle area

r is the radius

S = πr²

Circumference

r is the radius

C = 2πr

Triangle area

b is base, h is high

S = ½bh

Ball Volume

r is the radius

V = ⁴⁄₃πr³

Sphere surface area

r is the radius

S = 4πr²

Cylinder Volume

r is the radius of the bottom surface, h is the height

V = πr²h

Cone Volume

r is the radius of the bottom surface, h is the height

V = ⅓πr²h

Trapezoidal area

a, b is top and bottom, h is high

S = ½(a+b)h

Segment Area

r is the radius and θ is the radius

S = ½r²θ

Algebra 6

Univariate quadratic equation

ax ² + bx + c = 0

x = (-b ± √(b²-4ac)) / 2a

Fully square

expansion formula

(a±b)² = a² ± 2ab + b²

Square Variance

Factorization

a² - b² = (a+b)(a-b)

Sum of Geometric Series

Q.1 …

Sₙ = a₁(1-qⁿ)/(1-q)

Sum of Arithmetic Series

n is the number of items

Sₙ = n(a₁+aₙ)/2

binomial theorem

k from 0 to n

(a+b)ⁿ = ΣC(n,k)aⁿ⁻ᵏbᵏ

Trigonometry 6

Pythagorean theorem

Right triangle

a² + b² = c²

Sine Theorem

R is the circumferential radius

a/sinA = b/sinB = c/sinC = 2R

Cosine theorem

Universal Triangle

c² = a² + b² - 2ab·cosC

Sum Formula

Sine and Difference

sin(α±β) = sinαcosβ ± cosαsinβ

Double-Angle Formula

Sinusoidal angle

sin2α = 2sinαcosα

Cosine Multiplier Angle

Cosine Multiplier Angle

cos2α = cos²α - sin²α

Calculus 7

Power function derivative

n is a constant

(xⁿ)' = nxⁿ⁻¹

Exponential derivative

Nature Index

(eˣ)' = eˣ

Logarithmic derivative

ln

(ln x)' = 1/x

Sine derivative

Trigonometric Functions

(sin x)' = cos x

Chain rule

Function composition

[f(g(x))]' = f'(g(x))·g'(x)

Power Function Integral

N-1

∫xⁿdx = xⁿ⁺¹/(n+1) + C

exponential integral

Nature Index

∫eˣdx = eˣ + C

Statistics 6

Arithmetic Average

average of n

x̄ = Σxᵢ/n

Variance

Varp

σ² = Σ(xᵢ-x̄)²/n

Standard Deviation

Overall standard deviation

σ = √(Σ(xᵢ-x̄)²/n)

Sample Variance

Unbiased estimation

s² = Σ(xᵢ-x̄)²/(n-1)

covariance

60 ’ 2 •37 — region are not linear

Cov(X,Y) = E[(X-μx)(Y-μy)]

Correlation coefficient

-1 ≤ r ≤ 1

r = Cov(X,Y)/(σx·σy)