CBSE · Class 12 · All chapters
Mathematics — Complete Formula Sheet
Ch 1 · Relations and Functions
- 1.Relation in a Set
A relation from A to B is any subset of A × B. A relation in A is a subset of A × A.
- 2.Empty and Universal Relations
Empty: no element is related to any element. Universal: every element is related to every element. Both are called trivial relations.
- 3.Reflexive Relation
Every element of A must be related to itself. A single missing (a, a) makes R non-reflexive.
- 4.Symmetric Relation
Every pair must have its reverse in R. Pairs of the form (a, a) never break symmetry.
- 5.Transitive Relation
Check every chain a → b → c. If no chain exists at all, the relation is transitive by default.
- 6.Equivalence Relation★
Typical examples: 'is congruent to', 'is parallel to' (with each line parallel to itself), and 'a − b is divisible by n' on Z.
- 7.Equivalence Class★
The equivalence classes are pairwise disjoint and their union is the whole set A. Two classes are either equal or have no element in common.
- 8.Congruence Modulo n on Z
: Fixed positive integer (the modulus) · : Class of integers with remainder r on division by n
An equivalence relation on the integers with exactly n classes. [r] is the set of integers that leave remainder r on division by n.
- 9.One-one (Injective) Function★
Distinct inputs give distinct outputs. If two different inputs share an image, f is many-one. A function that is strictly increasing or strictly decreasing on its domain is one-one.
- 10.Onto (Surjective) Function★
Every element of the co-domain must be hit. Whether f is onto depends on the co-domain, not only on the formula.
- 11.Bijective Function
Prove the two parts separately. Showing only one of them does not establish bijectivity.
- 12.Functions on a Finite Set
Works only for finite sets mapped to themselves. On N, f(x) = 2x is one-one but not onto.
- 13.Number of Relations
: Number of elements in A · : Number of elements in B
A × B has mn ordered pairs, and each relation is a subset of it. A relation in A alone (m = n) gives 2^(n²).
- 14.Number of Functions and One-one Functions
: Number of elements in the domain A · : Number of elements in the co-domain B
Each of the m elements of A has n choices of image. For one-one maps the choices fall as n, n − 1, ..., so no image repeats. If m > n there is no one-one function.
- 15.Number of Bijections of a Set onto Itself
A bijection of a finite set onto itself is just a permutation of its elements. For A = {1, 2, 3} there are 3! = 6.
Ch 2 · Inverse Trigonometric Functions
- 1.Principal Branch of sin⁻¹★
Sine is one-one on [−π/2, π/2], and this interval is the range of sin⁻¹. Negative inputs give negative angles.
- 2.Principal Branch of cos⁻¹★
The range is [0, π], so cos⁻¹ is never negative. Negative inputs give obtuse angles.
- 3.Principal Branch of tan⁻¹★
Defined for every real number. The end-points ±π/2 are never reached.
- 4.Principal Branch of cot⁻¹
Same interval as cos⁻¹, but open at both ends. cot⁻¹(−1) = 3π/4, not −π/4.
- 5.Principal Branch of sec⁻¹
Defined only for |x| ≥ 1. π/2 is left out because sec π/2 is undefined.
- 6.Principal Branch of cosec⁻¹
Defined only for |x| ≥ 1. 0 is left out because cosec 0 is undefined.
- 7.Meaning of an Inverse Trig Value
To find a principal value, find the angle in the branch whose sine (or cosine, ...) equals x. The graph of y = sin⁻¹x is the mirror image of the restricted sine graph in the line y = x.
- 8.Notation Warning
The −1 means inverse function, not reciprocal. The same applies to cos⁻¹, tan⁻¹ and the rest.
- 9.Function of its Inverse
Valid wherever the inverse is defined. sin(sin⁻¹ 2) has no meaning, because 2 is outside [−1, 1].
- 10.Inverse of the Function (sin, tan)★
Valid ONLY when x is already in the principal branch. This is the step behind every 'simplest form' question.
- 11.Inverse of the Function (cos, cot)
Valid only on the branch [0, π] (open for cot). Outside it, shift the angle into the branch first.
- 12.sin⁻¹(sin x) Outside the Branch★
Uses sin x = sin(π − x), and π − x lies in [−π/2, π/2]. Example: sin⁻¹(sin 4π/5) = π/5.
- 13.cos⁻¹(cos x) Outside the Branch
Uses cos x = cos(2π − x), and 2π − x lies in [0, π]. Example: cos⁻¹(cos 5π/3) = π/3.
- 14.tan⁻¹(tan x) Outside the Branch
tan has period π, so subtract π to bring x into (−π/2, π/2). Example: tan⁻¹(tan 4π/3) = π/3.
- 15.Negative Arguments: sin⁻¹, tan⁻¹, cosec⁻¹
Valid for every x in the domain: −1 ≤ x ≤ 1 for sin⁻¹, all real x for tan⁻¹, |x| ≥ 1 for cosec⁻¹. These branches are symmetric about 0, so a negative input gives the negative of the angle. This follows from the branch table. In a board answer, show the step: 'sin y = −1/2 with y in [−π/2, π/2] gives y = −π/6'.
- 16.Negative Arguments: cos⁻¹, cot⁻¹, sec⁻¹★
Valid for every x in the domain: −1 ≤ x ≤ 1 for cos⁻¹, all real x for cot⁻¹, |x| ≥ 1 for sec⁻¹. These branches lie in [0, π], so a negative input gives π minus the angle. NCERT uses the same step for cot⁻¹(−1/√3) = π − π/3 = 2π/3.
- 17.Domain Condition for sin⁻¹ and cos⁻¹
For sec⁻¹(g(x)) or cosec⁻¹(g(x)) the condition is |g(x)| ≥ 1. tan⁻¹ and cot⁻¹ accept every real value.
- 18.Substitutions for Simplest Form
After substituting, simplify with a trig identity and use f⁻¹(f(θ)) = θ. Check that θ (or the angle you end with) lies in the principal branch for the given range of x.
Ch 3 · Matrices and Determinants
- 1.Matrix Addition
Only defined when A and B have the SAME order. Add corresponding entries.
- 2.Scalar Multiplication
Multiply every entry by the scalar. Does not affect the order of the matrix.
- 3.Matrix Multiplication★
Defined only when (columns of A) = (rows of B). Result has (rows of A) × (columns of B). NOT commutative.
- 4.Transpose★
Rows become columns. Note the REVERSAL of order in (AB)^T = B^T A^T.
- 5.Determinant of 2×2★
Product of main diagonal minus product of anti-diagonal.
- 6.Determinant of 3×3 (Cofactor Expansion)★
Expand along ANY row or column — pick the one with most zeros. M_{ij} = minor after deleting row i, column j.
- 7.Product Rule for Determinants
|A| behaves multiplicatively — very useful for showing det ≠ 0 without expanding AB.
- 8.Adjoint★
Transpose of the cofactor matrix. Row i of C becomes column i of adj(A).
- 9.Fundamental Identity
Sanity check on adj(A). If this product is not |A|·I, you made a sign or minor error.
- 10.Inverse via Adjoint★
A is invertible ⇔ |A| ≠ 0. If |A| = 0, A is called SINGULAR (no inverse).
- 11.Matrix Method for Linear System★
Only valid when |A| ≠ 0. If |A| = 0 and (adj A)·B ≠ 0, system is inconsistent.
- 12.Consistency Criteria
Three-way test for a square linear system. State the case explicitly in the answer.
- 13.Inverse of Transpose and Product
Order REVERSES when you take the inverse of a product — same as transpose.
- 14.Symmetric and Skew-Symmetric
Every square matrix decomposes uniquely as A = ½(A + A^T) + ½(A − A^T) — symmetric plus skew-symmetric.
Ch 5 · Continuity and Differentiability
- 1.Definition of Derivative
First-principles definition. Rarely asked directly, but conceptually foundational.
- 2.Continuity at a Point★
All three must be equal AND finite. If any one differs or is undefined, f is discontinuous at a.
- 3.Differentiability implies Continuity
Converse is NOT true. |x| is continuous at 0 but not differentiable there.
- 4.Sum, Difference, Constant Multiple
Linearity of differentiation. Differentiate term-by-term.
- 5.Product Rule★
First × derivative of second + second × derivative of first. NOT u'v'.
- 6.Quotient Rule★
Low d-high minus high d-low, over low squared. Order matters — sign errors are costly.
- 7.Chain Rule★
Differentiate outer function keeping inner intact, then multiply by derivative of inner. Peel layers one at a time.
- 8.Standard Derivatives (Trig)★
Cos gets a MINUS sign. cot, cosec also carry the minus.
- 9.Standard Derivatives (Inverse Trig)★
cos⁻¹ and cot⁻¹ carry an extra MINUS sign versus their sin⁻¹, tan⁻¹ counterparts.
- 10.Exponential and Logarithm
e^x is its own derivative. General a^x picks up a factor of ln a.
- 11.Logarithmic Differentiation★
Use when base AND exponent are variable, e.g. x^x, (sin x)^x. Then differentiate implicitly.
- 12.Parametric Differentiation★
When x = f(t), y = g(t), never write dy/dt · dx/dt — it is a QUOTIENT of the two.
- 13.Second Derivative
Differentiate dy/dx once more with respect to x. Do not divide.
- 14.Implicit Differentiation
For equations not solved for y (e.g. x² + y² = 25), differentiate both sides, treat y as function of x, then solve for dy/dx.
Ch 6 · Application of Derivatives
- 1.Slope of Tangent★
Evaluate the derivative at the point of tangency. Vertical tangent when dy/dx is infinite.
- 2.Slope of Normal
Normal is perpendicular to tangent, so product of slopes = −1. Horizontal tangent gives vertical normal (undefined slope).
- 3.Equation of Tangent★
Point-slope form at the point of tangency (x₀, y₀).
- 4.Equation of Normal
Same point, reciprocal-negative slope. If m_t = 0, normal is x = x₀ (vertical).
- 5.Rate of Change★
Related-rates workhorse. Both y and x are functions of time; chain rule links them.
- 6.Monotonicity Test★
Test on the OPEN interval. Boundary points can be included if f is continuous there.
- 7.Critical Points
Candidates for local maxima/minima. Also check ENDPOINTS on a closed interval for absolute extrema.
- 8.First Derivative Test
Sign chart of f' across the critical point. Works even when f'' = 0.
- 9.Second Derivative Test★
Inconclusive when f''(x_c) = 0 — fall back to first-derivative test.
- 10.Absolute Extrema on [a, b]★
Compare f at all critical points inside (a, b) PLUS the two endpoints. Same for minimum.
- 11.Approximation using Differentials
Linear approximation. Used to estimate √25.3 ≈ 5 + (0.3)/(2·5) = 5.03.
- 12.Concavity
Points where f''(x) changes sign are points of inflection.
Ch 7 · Integrals
- 1.Power Rule★
Raise power by one, divide by new power. Fails at n = −1 (that case gives ln|x|).
- 2.Integral of 1/x
The missing case of the power rule. Absolute value is essential — x can be negative.
- 3.Exponential and Logarithm
e^x is invariant. General a^x picks up 1/ln a in the antiderivative.
- 4.Standard Trig Integrals★
sin flips sign, cos does not. sec² integrates cleanly to tan.
- 5.Inverse Trig Integrals★
Recognise the RHS by shape of the integrand. Generalisation: replace 1 with a² and divide by a where appropriate.
- 6.Integration by Substitution★
Reverses the chain rule. Look for a function whose derivative is also present (up to a constant).
- 7.Integration by Parts★
ILATE rule chooses u: Inverse trig, Logarithm, Algebraic, Trig, Exponential (earlier letter → u).
- 8.Partial Fractions (Linear factors)★
Cover-up method: A = P(a)/(a−b), B = P(b)/(b−a). Works when degree(P) < degree(denominator).
- 9.Standard Form: 1/(x² + a²)★
Rule of thumb: sum in denominator ⇒ arctan.
- 10.Standard Form: 1/(x² − a²)
Difference in denominator ⇒ log of ratio.
- 11.Standard Form: 1/√(a² − x²)
Square-root difference ⇒ arcsin.
- 12.Definite Integral (Fundamental Theorem)★
Net signed area under y = f(x) from x = a to x = b.
- 13.Property: Reflection★
Substitute t = a − x. Extremely powerful for symmetric integrands like x/(x + (a − x)).
- 14.Property: Even/Odd
Odd function on symmetric limits gives 0 — no work needed. Check parity first.
Ch 8 · Application of Integrals
- 1.Elementary Strip
Think of the region as many thin strips of height y and width dx. Adding them up (integrating) gives the area.
- 2.Area Under a Curve (about the x-axis)★
: Area of the region (square units) · : Left and right ordinates (x = a, x = b), with b > a · : Curve y = f(x) bounding the region from above
Region bounded by y = f(x), the x-axis and the ordinates x = a and x = b. Use vertical strips.
- 3.Area About the y-axis
: Lower and upper lines y = c and y = d, with d > c · : Curve x = g(y) bounding the region on the right
Region bounded by x = g(y), the y-axis and the lines y = c and y = d. Use horizontal strips and write x in terms of y.
- 4.Curve Below the x-axis
Below the axis the definite integral comes out negative. Take its absolute value, because area is always positive.
- 5.Curve Crossing the x-axis★
Split at every point where the curve crosses the x-axis, then add the absolute values. For a line y = mx + k, the crossing is at x = −k/m. Integrating straight from a to b gives the NET value, not the area.
- 6.Odd Function on a Symmetric Interval
The parts above and below the axis cancel in the integral but not in the area. The area formula assumes f keeps one sign on [0, a]. Example: y = x³ from −1 to 1 has area 1/2, not 0.
- 7.Area Under y = kxⁿ
A quick check for regions under y = x², y = x³, y = √x and similar curves, starting at x = 0. Here k > 0 and b > 0.
- 8.One Arch of the Sine Curve
Each arch of y = sin x or y = cos x encloses 2 square units with the x-axis. So the area between y = sin x and the x-axis from 0 to 2π is 4, even though the integral is 0.
- 9.Standard Integral for Circle and Ellipse★
Comes from Chapter 7. Every circle and ellipse area depends on it, so learn it exactly, including the a²/2 factor.
- 10.Quarter-circle Integral
At x = a the first term vanishes and sin⁻¹(1) = π/2. At x = 0 both terms are 0. This is the first-quadrant area of x² + y² = a².
- 11.Area of a Circle
: Radius of the circle (units)
The circle is symmetric about both axes. Take y = +√(a² − x²) in the first quadrant and multiply by 4.
- 12.Area of an Ellipse★
: Semi-axis along x (units) · : Semi-axis along y (units)
Solve for y = (b/a)√(a² − x²) in the first quadrant. A circle is the special case a = b.
- 13.Parabola y² = 4ax up to x = h
: Parabola parameter in y² = 4ax (a > 0) · : Ordinate x = h closing the region (h > 0)
Region bounded by y² = 4ax and the ordinate x = h. The parabola is symmetric about the x-axis, so double the upper half y = 2√(ax). For h = a (the latus rectum) the area is 8a²/3.
Ch 9 · Differential Equations
- 1.Order of a Differential Equation
Look only at which derivatives appear, not at their powers. Order is always a positive integer.
- 2.Degree of a Differential Equation★
Degree is the highest power of the HIGHEST-ORDER derivative, once the equation is a polynomial in its derivatives. The 4th power of dy/dx does not count here.
- 3.When Degree is Not Defined
A derivative inside sin, cos, e^( ), log and so on means the equation is not a polynomial in its derivatives, so its degree is not defined.
- 4.General and Particular Solutions
A particular solution has no arbitrary constants. It is obtained by fixing the constants from given conditions.
- 5.Particular Solution from a Condition
Use the condition only after the general solution is complete. Substituting early often loses terms.
- 6.Variables Separable★
: Factor depending on x only · : Factor depending on y only · : Arbitrary constant
Get every y-term with dy and every x-term with dx, then integrate both sides. Requires h(y) ≠ 0.
- 7.Homogeneous Function of Degree n
: Any non-zero constant · : Degree of homogeneity
Replace x by λx and y by λy. If λ factors out as λⁿ, F is homogeneous of degree n. Equivalently, F(x, y) = xⁿ g(y/x).
- 8.Homogeneous Differential Equation
To test, show F(λx, λy) = λ⁰F(x, y) = F(x, y). Write this test in your answer; it is part of a complete solution.
- 9.Substitution y = vx★
This turns a homogeneous equation into a separable equation in v and x. Do not forget the 'v +' term.
- 10.Homogeneous Equation after Substitution
Integrate, then replace v by y/x to get the general solution.
- 11.Substitution x = vy
Use this when the equation is more naturally written as dx/dy, for example when terms like e^(x/y) appear.
- 12.Linear Differential Equation
: Coefficient of y (function of x or constant) · : Right-hand side (function of x or constant)
y and dy/dx appear only to the first power and are never multiplied together. Bring the equation to exactly this form first.
- 13.Integrating Factor★
Leave out the constant when integrating P. Simplify using e^(log f) = f. Here log means the natural logarithm, as in NCERT.
- 14.Solution of a Linear Equation★
After multiplying by the I.F., the left side is exactly d/dx[y × I.F.]. Integrate the right side (often by parts), then divide by the I.F. if y is needed explicitly.
- 15.Linear Equation in x
Use this when the equation is linear in x but not in y, for example y dx − (x + 2y²) dy = 0. Here P₁ and Q₁ are functions of y only.
- 16.Useful Simplifications of the I.F.
Also e^(log sec x) = sec x and e^(−log cos x) = sec x for values where these functions are positive.
Ch 10 · Vector Algebra
- 1.Vector in Component Form
Any 3-D vector has three components along the coordinate axes.
- 2.Magnitude of a Vector★
Pythagoras in 3-D. Magnitude is always non-negative.
- 3.Unit Vector
Same direction as a, magnitude 1. Undefined for the zero vector.
- 4.Direction Cosines★
Cosines of angles the vector makes with the x, y, z axes. Their squares sum to 1 — good sanity check.
- 5.Dot Product (Scalar Product)★
Result is a SCALAR. Zero iff a ⊥ b (or one vector is zero).
- 6.Angle Between Vectors★
Rearranged dot-product formula. Always in [0, π].
- 7.Projection of a on b
Scalar projection — length of shadow of a along direction of b. Sign can be negative.
- 8.Cross Product (Vector Product)★
Result is a VECTOR perpendicular to both a and b. Direction from right-hand rule.
- 9.Magnitude of Cross Product★
Zero iff a and b are PARALLEL (θ = 0 or π) or one is zero.
- 10.Area of Parallelogram / Triangle★
Cross product magnitude = area of parallelogram spanned by a and b. Triangle is half of it.
- 11.Unit Vector Perpendicular to Both
Normalise the cross product. Direction by right-hand rule; other direction is −n̂.
- 12.Scalar Triple Product★
Volume of parallelepiped with edges a, b, c. Zero iff the three vectors are COPLANAR.
- 13.Section Formula (Internal)
Point dividing AB internally in ratio m : n. Same form as coordinates section formula.
- 14.Non-commutativity of Cross Product
Swapping order flips the sign. Dot product is commutative; cross product is not.
Ch 11 · Three Dimensional Geometry
- 1.Direction Cosines
: Angles with the positive x, y and z-axes · : Direction cosines (pure numbers)
α, β, γ are the angles a directed line makes with the positive x, y and z-axes. Reversing the direction changes the sign of all three.
- 2.Identity for Direction Cosines
True for every line. Use it to find a missing direction cosine, or to check your answer.
- 3.Direction Cosines from Direction Ratios★
: Direction ratios of the line
Direction ratios a, b, c are any numbers proportional to l, m, n. Take the same sign (all + or all −) in all three.
- 4.Direction Ratios of a Line Through Two Points
For the line through P(x₁, y₁, z₁) and Q(x₂, y₂, z₂). Subtracting the other way round, x₁ − x₂ and so on, is also valid.
- 5.Direction Cosines of a Line Through Two Points
: Distance between the two points (units)
Divide each direction ratio by the distance PQ.
- 6.Collinearity of Three Points
Proportional direction ratios make AB parallel to BC, and B is common to both, so the three points lie on one line.
- 7.Vector Equation of a Line
: Position vector of a known point on the line · : Vector parallel to the line (its components are direction ratios) · : Real parameter
The line through the point with position vector a, parallel to b. Each real value of λ gives one point of the line.
- 8.Cartesian Equation of a Line★
The line through (x₁, y₁, z₁) with direction ratios a, b, c. The coefficient of x, y and z must be +1 in each numerator.
- 9.General Point on a Line
Parametric form. Use it when you need a point on the line that satisfies an extra condition.
- 10.Line Through Two Points
This is the point–direction form with the direction taken as the vector from the first point to the second.
- 11.Angle Between Two Lines (Vector Form)
For the lines r = a₁ + λb₁ and r = a₂ + μb₂. The modulus gives the acute angle.
- 12.Angle Between Two Lines (Direction Ratios)★
The Cartesian form of the same result. Read the direction ratios from the denominators in standard form.
- 13.Angle Between Two Lines (Direction Cosines)
No denominator is needed, because l² + m² + n² = 1 for each line.
- 14.Perpendicular and Parallel Lines★
Perpendicular: the dot product of the direction vectors is zero. Parallel: the direction ratios are proportional.
- 15.Shortest Distance Between Skew Lines (Vector Form)★
: Position vectors of known points on the two lines · : Direction vectors of the two lines
Skew lines are neither parallel nor intersecting. The shortest distance is the projection of a₂ − a₁ on the common perpendicular b₁ × b₂.
- 16.Shortest Distance (Cartesian Form)
Same result as the vector form. The numerator is the scalar triple product and the denominator is |b₁ × b₂|.
- 17.Distance Between Parallel Lines★
For r = a₁ + λb and r = a₂ + μb with the same direction b. If the second direction is a multiple of the first (for example 2b), use b.
Ch 12 · Linear Programming
- 1.Objective Function
: Objective function (profit, cost, ...) · : Decision variables (non-negative) · : Constants (for example profit per unit)
The linear function to be maximised or minimised. a and b are constants, and x and y are the decision variables.
- 2.Constraints
Linear inequalities that the variables must satisfy. The conditions x ≥ 0 and y ≥ 0 are the non-negativity constraints.
- 3.Feasible Region
The common region of all the half-planes. Each point in it, including points on its boundary, is a feasible solution. Points outside it are infeasible.
- 4.Plotting a Constraint Line
Join the two intercepts to draw the boundary line, for a, b, c ≠ 0. For a line through the origin, such as x = y, plot one more point.
- 5.Choosing the Side to Shade
If the inequality is true at the origin, shade the side containing the origin. If it is false, shade the other side. If the line passes through the origin, test another point, such as (1, 0).
- 6.Corner Point (Intersection of Two Lines)
Solution of a₁x + b₁y = c₁ and a₂x + b₂y = c₂. Elimination works just as well. Then check that the point satisfies all the other constraints.
- 7.Corner Point Theorem
This is why only the corner points need to be tested, not the infinitely many points inside the region.
- 8.Bounded Feasible Region★
: Largest value of Z among the corner points · : Smallest value of Z among the corner points
M and m are the largest and smallest values of Z at the corner points. A bounded region can be enclosed in a circle, and both optimal values exist.
- 9.Unbounded Region: Maximum Test★
Draw the dotted line ax + by = M. If any part of R lies on the side where ax + by > M, then Z has NO maximum.
- 10.Unbounded Region: Minimum Test★
Draw the dotted line ax + by = m. If any part of R lies on the side where ax + by < m, then Z has NO minimum.
- 11.Multiple Optimal Solutions
Happens when the objective line is parallel to an edge of the region. Report both corners and the whole segment.
- 12.No Feasible Region
If the shaded half-planes have no common part, the problem has no solution. State this rather than forcing a corner table.
- 13.Corner Point Method (Steps)★
Follow these steps in order and write a one-line conclusion: 'Maximum Z = ... at (x, y)'.
Ch 13 · Probability
- 1.Conditional Probability★
Probability of A given B has happened. Restrict the sample space to B.
- 2.Multiplication Rule★
Chain of two events. Useful when one probability is easy to compute and the conditional is given.
- 3.Independence
Equivalent forms: P(A|B) = P(A), P(B|A) = P(B). Very different from mutually exclusive.
- 4.Total Probability Theorem
For a partition A₁, A₂, ..., Aₙ of the sample space, sum weighted conditional probabilities.
- 5.Bayes' Theorem★
Reverses the direction of conditioning. Numerator: prior × likelihood; denominator: total probability of B.
- 6.Complement Rule
'At least one' problems ⇒ complement first. Almost always shorter than direct counting.
- 7.Random Variable Expectation★
Weighted average of possible values, weights = probabilities.
- 8.Variance
Standard shortcut: compute E(X²) and E(X) separately. Always non-negative.
- 9.Binomial Distribution★
Fixed n trials, independent, each with success probability p. X counts successes.
- 10.Mean of Binomial
Intuitive: expected number of successes in n independent trials.
- 11.Variance of Binomial
Maximum when p = ½ (highest uncertainty per trial).
- 12.Bernoulli Trial
A single yes/no experiment. Binomial with n = 1. Basis for the binomial distribution.