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Hypothesis testing
Hypothesis testing
Numbers 11-20
Numbers 11-20
Determinants, their properties. Minors and cofactors. Lecture 2
Determinants, their properties. Minors and cofactors. Lecture 2
Discrete mathematics. Sets
Discrete mathematics. Sets
Cmpe 466 computer graphics. 3D geometric transformations. (Сhapter 9)
Cmpe 466 computer graphics. 3D geometric transformations. (Сhapter 9)
Methods of proof
Methods of proof
Linear Algebra. Chapter 3. Determinants
Linear Algebra. Chapter 3. Determinants
Method of undetermined coefficients
Method of undetermined coefficients
Trigonometriýa
Trigonometriýa
Chapter 1. Polynomial and Rational Functions. 3.3. Dividing Polynomials; Remainder and Factor Theorems
Chapter 1. Polynomial and Rational Functions. 3.3. Dividing Polynomials; Remainder and Factor Theorems
Mathematical Induction
Mathematical Induction
Prime numbers. Euclid's algorithm
Prime numbers. Euclid's algorithm
The circle, the circumference and their elements. The central angle
The circle, the circumference and their elements. The central angle
Lecture 6 – Integrals
Lecture 6 – Integrals
Постороение сечений
Постороение сечений
Normal Probability Distributions
Normal Probability Distributions
Surface area and volumes
Surface area and volumes
Model Parameterization in tomography problems. Lecture 4
Model Parameterization in tomography problems. Lecture 4
Trigonometric Identities. Lesson 7.1
Trigonometric Identities. Lesson 7.1
Probability Random Variables Preparatory Notes
Probability Random Variables Preparatory Notes
Introduction to normal distributions
Introduction to normal distributions
Discrete Mathematics Sets
Discrete Mathematics Sets
Probabilistic Models. Chapter 11
Probabilistic Models. Chapter 11
Descriptive statistics. Frequency distributions and their graphs. (Section 2.1)
Descriptive statistics. Frequency distributions and their graphs. (Section 2.1)
Correlation and regression
Correlation and regression
Correlation and Regression
Correlation and Regression
Lemke’s Algorithm: The Hammer in Your Math Toolbox?
Lemke’s Algorithm: The Hammer in Your Math Toolbox?
The Normal and other Continuous Distributions
The Normal and other Continuous Distributions
Solution Methods Applied Computational Fluid Dynamics. Lecture 5
Solution Methods Applied Computational Fluid Dynamics. Lecture 5
Matrices - Introduction. Lecture 1-3
Matrices - Introduction. Lecture 1-3
Systems of linear algebraic equations
Systems of linear algebraic equations
Скалярное произведение векторов, угол между векторами
Скалярное произведение векторов, угол между векторами
Functions Defined on General Sets (section 7.1)
Functions Defined on General Sets (section 7.1)
Linear Algebra. Chapter 1. Linear Equations in Linear Algebra
Linear Algebra. Chapter 1. Linear Equations in Linear Algebra
Linear Algebra. Chapter 1. Matrix Algebra
Linear Algebra. Chapter 1. Matrix Algebra
Filtering II - frequency response and stability
Filtering II - frequency response and stability
ASB1114: Regression
ASB1114: Regression
Tic Tac Toe. Numbers 20-100 (game)
Tic Tac Toe. Numbers 20-100 (game)
Probability distributions (chapter 6)
Probability distributions (chapter 6)
Linear Algebra. Lecture 4
Linear Algebra. Lecture 4
The mean
The mean
Inscribed and circumscribed circles of a triangle
Inscribed and circumscribed circles of a triangle
The mean values
The mean values
Santas sleigh. Game
Santas sleigh. Game
Determinants
Determinants
Fuzzy expert systems: fuzzy logic
Fuzzy expert systems: fuzzy logic
Databases Design. Introduction to SQL. Relational algebra
Databases Design. Introduction to SQL. Relational algebra
Auctions. (Lecture 10)
Auctions. (Lecture 10)
Chapter 3. Polynomial and Rational Functions. 3.2 Polynomial Functions and Their Graphs
Chapter 3. Polynomial and Rational Functions. 3.2 Polynomial Functions and Their Graphs
Statistics. Data Description. Data Summarization. Numerical Measures of the Data
Statistics. Data Description. Data Summarization. Numerical Measures of the Data
Using numerical measures to describe data. Measures of the center. Week 3 (2)
Using numerical measures to describe data. Measures of the center. Week 3 (2)
Random variables – discrete random variables. Week 6 (2)
Random variables – discrete random variables. Week 6 (2)
Discrete Probability Distributions: Binomial and Poisson Distribution. Week 7 (2)
Discrete Probability Distributions: Binomial and Poisson Distribution. Week 7 (2)
Calculating the probability of a continuous random variable – Normal Distribution. Week 9 (1)
Calculating the probability of a continuous random variable – Normal Distribution. Week 9 (1)
Maths puzzles
Maths puzzles
Hypothesis testing for proportions. Essential statistics
Hypothesis testing for proportions. Essential statistics
Definition. Statistics
Definition. Statistics
Math end algebra. Vector
Math end algebra. Vector
Inverse of a Square Matrix
Inverse of a Square Matrix
The Chain Rule
The Chain Rule
Random variables
Random variables
Functions of Random Variables 2. Method of Distribution Functions
Functions of Random Variables 2. Method of Distribution Functions
The Taylor Formula
The Taylor Formula
The Distribution of Molecules over Velocities Maxwell Distribution
The Distribution of Molecules over Velocities Maxwell Distribution
Probability theory. Probability Distributions Statistical Entropy
Probability theory. Probability Distributions Statistical Entropy
Inverse of the matrix A
Inverse of the matrix A
Solid geometry
Solid geometry
Binary Variables
Binary Variables
Decimals
Decimals
Types of variables. Input. Class Math. Lesson 2
Types of variables. Input. Class Math. Lesson 2
Построение графиков гармонических колебаний
Построение графиков гармонических колебаний
Sign of equality of triangles. lesson 2
Sign of equality of triangles. lesson 2
Operation with Desimal Fractions
Operation with Desimal Fractions
Linear Regression. Regression model evaluation metrics. Lecture 5
Linear Regression. Regression model evaluation metrics. Lecture 5
Expert judgment method. (Lecture 1-4)
Expert judgment method. (Lecture 1-4)
Графики гармонических колебаний
Графики гармонических колебаний
Linear Regression and Correlation Analysis
Linear Regression and Correlation Analysis
Decision Procedures for Presburger Arithmetic
Decision Procedures for Presburger Arithmetic
Calculus - 2. Lecture -1. Numerical Integration
Calculus - 2. Lecture -1. Numerical Integration
Calculus
Calculus
Ratio and Proportion Exemplar Questions and Answers
Ratio and Proportion Exemplar Questions and Answers
Introduction to statistics
Introduction to statistics
Matrix form of the force method. Compliance Matrix. Lecture 12
Matrix form of the force method. Compliance Matrix. Lecture 12
The function of one variable
The function of one variable
Cutting a Pie is Not a Piece of Cake
Cutting a Pie is Not a Piece of Cake
Panel.Methods
Panel.Methods
Mathematics for еconomists. (Week 1-12)
Mathematics for еconomists. (Week 1-12)
Elements of probability. (Lecture 3)
Elements of probability. (Lecture 3)
Sine, cosine, radians
Sine, cosine, radians
The binomial model for option pricing
The binomial model for option pricing
Modeling non-stationary variables
Modeling non-stationary variables
Basics of functions and their graphs
Basics of functions and their graphs
Graph theory irina prosvirnina. Definitions and examples. Paths and cycles
Graph theory irina prosvirnina. Definitions and examples. Paths and cycles
Introductory statistics
Introductory statistics
Chapter 3. Polynomial and Rational Functions. 3.1 Quadratic Functions
Chapter 3. Polynomial and Rational Functions. 3.1 Quadratic Functions
Chapter 3. Polynomial and Rational Functions. 3.4 Zeros of Polynomial Functions
Chapter 3. Polynomial and Rational Functions. 3.4 Zeros of Polynomial Functions
Mathematics for Computing 2016-2017. Lecture 1: Course Introduction and Numerical Representation
Mathematics for Computing 2016-2017. Lecture 1: Course Introduction and Numerical Representation
Mathematics for Computing. Lecture 2: Logarithms and indices
Mathematics for Computing. Lecture 2: Logarithms and indices
Discrete mathematics. Probability
Discrete mathematics. Probability
Solving linear recurrence relations
Solving linear recurrence relations
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