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MathsProbability Distributions
Maths
Maths
  • Numbers
  • 1.Number Systems
  • Algebra
  • 2.Algebraic Expressions
  • 3.Linear Equations
  • 4.Polynomials
  • 5.Quadratic Equations
  • 6.Arithmetic Progressions
  • 7.Inequalities
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  • 9.Factorisation
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  • 10.Lines and Angles
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  • 15.Coordinate Geometry
  • Mensuration
  • 16.2D Mensuration
  • 17.3D Mensuration
  • Trigonometry
  • 18.Introduction to Trigonometry
  • 19.Trigonometric Identities
  • 20.Heights and Distances
  • 21.Trigonometric Functions
  • 22.Inverse Trigonometric Functions
  • Advanced Algebra
  • 23.Sequences and Series
  • 24.Matrices
  • 25.Determinants
  • 26.Complex Numbers
  • 27.Permutations and Combinations
  • 28.Binomial Theorem
  • 29.Sets
  • 30.Relations
  • 31.Functions
  • Calculus
  • 32.Limits
  • 33.Continuity
  • 34.Differentiation
  • 35.Applications of Derivatives
  • 36.Integration
  • 37.Applications of Integrals
  • 38.Differential Equations
  • Vectors and 3D Geometry
  • 39.Vectors
  • Statistics and Probability
  • 40.Data Handling
  • 41.Measures of Central Tendency
  • 42.Measures of Dispersion
  • 43.Correlation
  • 44.Probability
  • 45.Random Variables
  • 46.Probability Distributions
    • 46.1.Binomial Distribution
    • 46.2.Poisson Distribution
    • 46.3.Normal Distribution
  • Linear Programming
  • 47.Formulation of Linear Programming Problems
  • 48.Graphical Method
  • 49.Linear Programming - Constraints and Feasible Region
  • 50.Optimization Problems
  • Mathematical Reasoning
  • 51.Statements
  • 52.Logical Connectives
  • 53.Implications
  • 54.Validity of Statements and Arguments
  • Numbers
  • 1.Number Systems
  • Algebra
  • 2.Algebraic Expressions
  • 3.Linear Equations
  • 4.Polynomials
  • 5.Quadratic Equations
  • 6.Arithmetic Progressions
  • 7.Inequalities
  • 8.Logarithms
  • 9.Factorisation
  • Geometry
  • 10.Lines and Angles
  • 11.Triangles
  • 12.Quadrilaterals
  • 13.Polygons
  • 14.Circles
  • 15.Coordinate Geometry
  • Mensuration
  • 16.2D Mensuration
  • 17.3D Mensuration
  • Trigonometry
  • 18.Introduction to Trigonometry
  • 19.Trigonometric Identities
  • 20.Heights and Distances
  • 21.Trigonometric Functions
  • 22.Inverse Trigonometric Functions
  • Advanced Algebra
  • 23.Sequences and Series
  • 24.Matrices
  • 25.Determinants
  • 26.Complex Numbers
  • 27.Permutations and Combinations
  • 28.Binomial Theorem
  • 29.Sets
  • 30.Relations
  • 31.Functions
  • Calculus
  • 32.Limits
  • 33.Continuity
  • 34.Differentiation
  • 35.Applications of Derivatives
  • 36.Integration
  • 37.Applications of Integrals
  • 38.Differential Equations
  • Vectors and 3D Geometry
  • 39.Vectors
  • Statistics and Probability
  • 40.Data Handling
  • 41.Measures of Central Tendency
  • 42.Measures of Dispersion
  • 43.Correlation
  • 44.Probability
  • 45.Random Variables
  • 46.Probability Distributions
    • 46.1.Binomial Distribution
    • 46.2.Poisson Distribution
    • 46.3.Normal Distribution
  • Linear Programming
  • 47.Formulation of Linear Programming Problems
  • 48.Graphical Method
  • 49.Linear Programming - Constraints and Feasible Region
  • 50.Optimization Problems
  • Mathematical Reasoning
  • 51.Statements
  • 52.Logical Connectives
  • 53.Implications
  • 54.Validity of Statements and Arguments
Distribution Function (CDF)Binomial Distribution

Probability Distributions

Probability distributions explained with key concepts, discrete and continuous types, distribution tables, and simple numerical examples.

1.Binomial Distribution
Understand the binomial distribution with simple explanations, conditions, formula, mean, variance, and clear examples of repeated independent trials.
2.Poisson Distribution
Understand the Poisson distribution with simple explanations, meaning, conditions, formula, mean, variance, and real-life examples involving rare events.
3.Normal Distribution
Understand the normal distribution with simple notes, bell curve shape, mean–median–mode relation, standard normal form, and real-life examples.
Distribution Function (CDF)Binomial Distribution
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