Dr. Mathaholic

Solution to Question 30 on Linear Algebra in GATE 2024 examination

Solution to Question 19 on Linear Algebra in GATE 2024 Mathematics Examination.

Solutions to Questions on Linear Algebra in GATE 2024 for Data Science and Artificial Intelligence

How to define Orthogonal matrices: Geometrically |Math Interview (Job/ Ph.D)

What are all subspaces of R2? Math job/ PhD Interview Question

Linear Transformations : Geometrically

Introduction to F-distribution and when to use it along with examples

Introduction to t-distribution and its connection with Z-distribution

Difference between Sample means using central limit theorem

Теория оценивания: Оценка единственного среднего (Часть I)

Sampling Distribution of Variance with the help of Chi Square Distribution

Problems on Central Limit Theorem: Single Sample (From Walpole and Mayers Textbook)

Понимание центральной предельной теоремы на примерах

Statistic | Sampling Distribution | Population | Sample | iiDs along with examples.

Концептуальная лекция о распределении хи-квадрат

Lecture 31: Normal Approximation to Binomial via Calculus

Lecture 32: Gamma Distribution | Concept, Mean, Variance and Examples

Lecture 30: Examples on Normal Distribution & Standard Normal Distribution / Z- Distribution(Part 3)

An Example on Basis and Dimension of U, V, U intersection V and U + V of a polynomial space

Lecture 29: Standard Normal Distribution or Z-Distribution| Conceptual lecture | Part 2

Lecture 28: Normal Distribution of a Random Variable (Part 1)

Proof of - Geometric Multiplicity is less equal Algebraic Multiplicity

Lecture 27: Proof of --- Limit of binomial distribution is Poisson Distribution.

Lecture 26: Poisson Distribution | Concept and Examples using table

Row / Column operations on a matrix is equivalent to Pre / Post Matrix Multiplication.

Lecture 25 : Geometric Distribution | Special case of Negative Binomial Distribution

Lecture 24: Negative Binomial Distribution | Concept and Examples

Lecture 23: Hypergeometric distribution | Concept, Examples, connection with Binomial distribution

Lecture 22: Mean and variance of binomial distribution | Formula and Examples

Complement in Conditional Probability | P(A' | B) = 1 - P(A | B)