Канал: Ganit Coach (गणित कोच)

#shorts UGC NET Paper1 Swayam Prabha #swayamprabha #ugcnet

#shorts UGC NET Paper1 Swayam Prabha #swayamprabha #ugcnet

#shorts UGC NET paper 1 | Computer Memory #ugcnet2024 #youtubeshorts

#shorts UGC NET paper 1 | Computer Memory #ugcnet2024 #youtubeshorts

#shorts UGC NET paper 1 | #ugcnetprep #ugcnet2024 #youtubeshorts

#shorts UGC NET paper 1 | #ugcnetprep #ugcnet2024 #youtubeshorts

#shorts ict ugc net paper 1 | ugcnet #ugcnet #youtubeshorts

#shorts ict ugc net paper 1 | ugcnet #ugcnet #youtubeshorts

Lecture 6.5 Probability Distribution | Binomial & Poisson Distribution

Lecture 6.5 Probability Distribution | Binomial & Poisson Distribution

Tutorial 14 Poisson Distribution | Numerical on Poisson Distribution

Tutorial 14 Poisson Distribution | Numerical on Poisson Distribution

Tutorial 13 Numerical on Standard Deviation | Coefficient of Variance

Tutorial 13 Numerical on Standard Deviation | Coefficient of Variance

#shorts Aptitude | Reasoning | Quantitative Aptitude #aptitudetricks

#shorts Aptitude | Reasoning | Quantitative Aptitude #aptitudetricks

#shorts UGC NET Paper 1 train Speed Time tunnel distance June 24 #shortvideo #youtubeshorts #maths

#shorts UGC NET Paper 1 train Speed Time tunnel distance June 24 #shortvideo #youtubeshorts #maths

#shorts UGC NET Paper first Aptitude hexadecimal Number June 24 #shortsvideo #youtubeshorts

#shorts UGC NET Paper first Aptitude hexadecimal Number June 24 #shortsvideo #youtubeshorts

#shorts UGC NET Paper first Aptitude ratio #education #shortvideo #youtubeshorts

#shorts UGC NET Paper first Aptitude ratio #education #shortvideo #youtubeshorts

#shorts UGC NET Paper first Aptitude number series aptitude #education #ugcnetpaper1pyq

#shorts UGC NET Paper first Aptitude number series aptitude #education #ugcnetpaper1pyq

#shorts Aptitude l Alphabet order question l ugc net paper 1

#shorts Aptitude l Alphabet order question l ugc net paper 1

Business Statistics Tutorial for BBA HNB Examination

Business Statistics Tutorial for BBA HNB Examination

#shorts UGC NET Paper first Aptitude number series aptitude

#shorts UGC NET Paper first Aptitude number series aptitude

#shorts UGC NET Paper first Aptitude number series aptitude

#shorts UGC NET Paper first Aptitude number series aptitude

Business Statistics Tutorial for BBA HNB Examination

Business Statistics Tutorial for BBA HNB Examination

Simplex Method LPP Numerical || Linear Programming Numerical Problem

Simplex Method LPP Numerical || Linear Programming Numerical Problem

Tutorial-6 Chi Square Test | Chi square hypothesis testing

Tutorial-6 Chi Square Test | Chi square hypothesis testing

Formulation of pay-off matrix | Game Theory & Payoff matrix

Formulation of pay-off matrix | Game Theory & Payoff matrix

L 29 Program Evaluation & Review Technique 3 | PERT | Network Analysis

L 29 Program Evaluation & Review Technique 3 | PERT | Network Analysis

L 28 Program Evaluation & Review Technique 2 | PERT | Network Analysis

L 28 Program Evaluation & Review Technique 2 | PERT | Network Analysis

L 27 Program Evaluation & Review Technique 1 | PERT | Network Analysis

L 27 Program Evaluation & Review Technique 1 | PERT | Network Analysis

L 26 Critical Path Method 4| CPM | Network Analysis

L 26 Critical Path Method 4| CPM | Network Analysis

L 25 Critical Path Method 3| CPM | Network Analysis

L 25 Critical Path Method 3| CPM | Network Analysis

L 24 Critical Path Method 2 | CPM | Network Analysis

L 24 Critical Path Method 2 | CPM | Network Analysis

L 23 Critical Path Method 1 | CPM | Network Analysis

L 23 Critical Path Method 1 | CPM | Network Analysis

Lecture 6.4 Baye's probability | Baye's theorem of Probability

Lecture 6.4 Baye's probability | Baye's theorem of Probability

Lecture 6.3 Conditional probability | Law of Conditional Probability

Lecture 6.3 Conditional probability | Law of Conditional Probability

Lecture 5.4 Least Square Method for time series data | Regression Analysis for time series

Lecture 5.4 Least Square Method for time series data | Regression Analysis for time series

Simplex Method LPP || Linear Programming Problem

Simplex Method LPP || Linear Programming Problem

Graphical Method LPP || Linear Programming Problem

Graphical Method LPP || Linear Programming Problem

L 22 Game Theory | Graphical Method 2 | Mixed Strategy Game

L 22 Game Theory | Graphical Method 2 | Mixed Strategy Game

L 21 Game Theory | Graphical Method 1 | Mixed Strategy Game

L 21 Game Theory | Graphical Method 1 | Mixed Strategy Game

L 20 Game Theory | Algebraic Method | Mixed Strategy Game

L 20 Game Theory | Algebraic Method | Mixed Strategy Game

L 19 Game Theory | Principle of Dominance | Pure Strategy Game

L 19 Game Theory | Principle of Dominance | Pure Strategy Game

L 18 Game Theory | Minimax Maximin Problem | Pure Strategy Game

L 18 Game Theory | Minimax Maximin Problem | Pure Strategy Game

L16 Case Study on Restricted Assignment Problem | Assignment by Hungarian Method

L16 Case Study on Restricted Assignment Problem | Assignment by Hungarian Method

L15 Restricted Assignment Problem | Assignment by Hungarian Method

L15 Restricted Assignment Problem | Assignment by Hungarian Method

L14 Maximization Assignment Problem | Maximization Assignment by Hungarian Method

L14 Maximization Assignment Problem | Maximization Assignment by Hungarian Method

L13 Assignment Model | Unbalanced Assignment by Hungarian Method

L13 Assignment Model | Unbalanced Assignment by Hungarian Method

#shorts Cube root shortcut

#shorts Cube root shortcut

Tutorial 12 Quartile Deciles Percentiles || Positional Average

Tutorial 12 Quartile Deciles Percentiles || Positional Average

T2- Numerical on Straight Lines || Straight Lines

T2- Numerical on Straight Lines || Straight Lines

LPP Formulation || Linear Programming Problem

LPP Formulation || Linear Programming Problem

Lecture 6.N.1 Additive law of probability Numerical | Case on Additive law

Lecture 6.N.1 Additive law of probability Numerical | Case on Additive law

Lecture 5.N.2 Case on Regression Analysis | Regression & Correlation Coefficients

Lecture 5.N.2 Case on Regression Analysis | Regression & Correlation Coefficients

Lecture 5.N.1 Case on Regression Analysis | Regression Coefficients

Lecture 5.N.1 Case on Regression Analysis | Regression Coefficients

T 13 Least Square Method for Time Series

T 13 Least Square Method for Time Series

Lecture 6.2 Multiplicative law of probability | Multiplicative law

Lecture 6.2 Multiplicative law of probability | Multiplicative law

Lecture 6.1 Additive law of probability | Additive law

Lecture 6.1 Additive law of probability | Additive law

L12 Assignment Model | Assignment by Hungarian Method with line step

L12 Assignment Model | Assignment by Hungarian Method with line step

Tutorial 11 Poisson Distribution | Mean and Variance of Poisson Distribution

Tutorial 11 Poisson Distribution | Mean and Variance of Poisson Distribution

L11 Assignment Model | Assignment by Hungarian Method

L11 Assignment Model | Assignment by Hungarian Method

T1- Circles | Forms of Circles

T1- Circles | Forms of Circles

#shorts Multiplication with last digit 1 | Easy Multiplication

#shorts Multiplication with last digit 1 | Easy Multiplication

Lecture 5.3 Regression Analysis using Deviation Method | Regression Coefficient

Lecture 5.3 Regression Analysis using Deviation Method | Regression Coefficient

Lecture 5.2 Least Square Method for regression | Regression Analysis

Lecture 5.2 Least Square Method for regression | Regression Analysis

Lecture 5.1 Regression Analysis | Concept of Regression

Lecture 5.1 Regression Analysis | Concept of Regression

Lecture 2.N.4 Business Case on Standard Deviation & Variance with Coefficient of Variance

Lecture 2.N.4 Business Case on Standard Deviation & Variance with Coefficient of Variance

Lecture 2.N.3 Business Case on Mode | Central tendency

Lecture 2.N.3 Business Case on Mode | Central tendency

Lecture 2.N.2 Numerical on Mode | Central tendency

Lecture 2.N.2 Numerical on Mode | Central tendency

Lecture 2.N.1 Numerical on Mean and Median | Central tendency

Lecture 2.N.1 Numerical on Mean and Median | Central tendency

Lecture 4.3.4 Concurrent Deviation | Coefficient Correlation from Concurrent Deviation

Lecture 4.3.4 Concurrent Deviation | Coefficient Correlation from Concurrent Deviation

Lecture 4.3.3.2 Spearman's Rank Correlation | Rank Correlation for Equal Rank | Tied Rank

Lecture 4.3.3.2 Spearman's Rank Correlation | Rank Correlation for Equal Rank | Tied Rank

Lecture 4.3.3.1 Spearman's Rank Correlation | Rank Correlation for Unequal Rank

Lecture 4.3.3.1 Spearman's Rank Correlation | Rank Correlation for Unequal Rank

Lecture 4.3.2.5 Karl Pearson's Coefficient correlation by using Actual Data

Lecture 4.3.2.5 Karl Pearson's Coefficient correlation by using Actual Data

Lecture 4.3.2.4 Karl Pearson's Coefficient of Correlation using Step Deviation

Lecture 4.3.2.4 Karl Pearson's Coefficient of Correlation using Step Deviation

Lecture 4.3.2.3 Karl Pearson's Coefficient of Correlation using Assumed Mean

Lecture 4.3.2.3 Karl Pearson's Coefficient of Correlation using Assumed Mean

Lecture 4.3.2.2 Karl Pearson's Coefficient of Correlation using Arithmetic Mean

Lecture 4.3.2.2 Karl Pearson's Coefficient of Correlation using Arithmetic Mean

Lecture 4.3.2.1 Karl Pearson's Coefficient of Correlation | Coefficient of Correlation

Lecture 4.3.2.1 Karl Pearson's Coefficient of Correlation | Coefficient of Correlation

Lecture 4.3.1 Correlation by Scatter Diagram | Correlation

Lecture 4.3.1 Correlation by Scatter Diagram | Correlation

Lecture 4.2 Types of Correlation | Forms of Correlation

Lecture 4.2 Types of Correlation | Forms of Correlation

Lecture 4.1 Correlation | What is Correlation? | Concept

Lecture 4.1 Correlation | What is Correlation? | Concept

Lecture 3.4 Measures of Skewness & Kurtosis Based on Moments | Skewness & Kurtosis

Lecture 3.4 Measures of Skewness & Kurtosis Based on Moments | Skewness & Kurtosis

Lecture 3.3 Kurtosis | How to find kurtosis?

Lecture 3.3 Kurtosis | How to find kurtosis?

Lecture 3.2 Measures of Skewness l Absolute and Relative Measures of Skewness

Lecture 3.2 Measures of Skewness l Absolute and Relative Measures of Skewness

Lecture 3.1 Skewness | Concept of Skewness & Symmetric Curve

Lecture 3.1 Skewness | Concept of Skewness & Symmetric Curve

Lecture 2.11 Moments About Mean | Four Moments About Mean

Lecture 2.11 Moments About Mean | Four Moments About Mean

Lecture 2.10.3 Mean Deviation for Continuous Data | Mean Absolute Deviation & Its Coefficient

Lecture 2.10.3 Mean Deviation for Continuous Data | Mean Absolute Deviation & Its Coefficient

Lecture 2.10.2 Mean Deviation for Discrete Data | Mean Absolute Deviation & Its Coefficient

Lecture 2.10.2 Mean Deviation for Discrete Data | Mean Absolute Deviation & Its Coefficient

Lecture 2.10.1 Mean Deviation and Coefficient | Mean Absolute Deviation for Ungrouped data

Lecture 2.10.1 Mean Deviation and Coefficient | Mean Absolute Deviation for Ungrouped data

#shorts Square of Numbers || Easy Square of Numbers

#shorts Square of Numbers || Easy Square of Numbers

Lecture 2.9.4 Standard Deviation & Variance for Continuous Data | SD for grouped data

Lecture 2.9.4 Standard Deviation & Variance for Continuous Data | SD for grouped data

#shorts Time and Work short tricks || time and work tricks

#shorts Time and Work short tricks || time and work tricks

Lecture 2.9.3 Standard Deviation & Variance for Discrete Data | SD for grouped data

Lecture 2.9.3 Standard Deviation & Variance for Discrete Data | SD for grouped data

Lecture 2.9.2 Standard Deviation & Variance for Individual data | SD for Ungrouped data

Lecture 2.9.2 Standard Deviation & Variance for Individual data | SD for Ungrouped data

Lecture 2.9.1 Standard Deviation & Variance with their Coefficient | SD & Coefficient of Variance

Lecture 2.9.1 Standard Deviation & Variance with their Coefficient | SD & Coefficient of Variance

Lecture 2.8.3 Quartile Range And it's Coefficient | Quartile Deviation and it's Coefficient

Lecture 2.8.3 Quartile Range And it's Coefficient | Quartile Deviation and it's Coefficient

Lecture 2.8.2 Range | Measures of Dispersion | Distance Measures | Deviation Statistical Measures

Lecture 2.8.2 Range | Measures of Dispersion | Distance Measures | Deviation Statistical Measures

Lecture 2.8.1 Measures of Dispersion | Deviation | Concept | Statistical Measures

Lecture 2.8.1 Measures of Dispersion | Deviation | Concept | Statistical Measures

Lecture 2.7.2 Mode | Continuous Data | Central Tendency | Positional Average

Lecture 2.7.2 Mode | Continuous Data | Central Tendency | Positional Average

Lecture 2.7.1 Mode | Individual & Discrete Data | Central Tendency | Positional Average

Lecture 2.7.1 Mode | Individual & Discrete Data | Central Tendency | Positional Average

#shorts अंक की गुणI 11 से |आसान और तेज तरीके | Multiplication by 11: Easy and Fast Methods |

#shorts अंक की गुणI 11 से |आसान और तेज तरीके | Multiplication by 11: Easy and Fast Methods |

Lecture 2.6.4 Median, Quartiles, Deciles & Percentiles | Continuous Data | Positional Average

Lecture 2.6.4 Median, Quartiles, Deciles & Percentiles | Continuous Data | Positional Average

#shorts Aptitude |Squares of number with last digit 5 only | Shortcuts | Short Tricks | Reasoning |

#shorts Aptitude |Squares of number with last digit 5 only | Shortcuts | Short Tricks | Reasoning |

Lecture 2.6.3 Median, Quartiles, Deciles & Percentiles | Discrete Data | Positional Average

Lecture 2.6.3 Median, Quartiles, Deciles & Percentiles | Discrete Data | Positional Average

Lecture 2.6.2 Median, Quartiles, Deciles & Percentiles | Individual Data | Positional Average

Lecture 2.6.2 Median, Quartiles, Deciles & Percentiles | Individual Data | Positional Average

Tutorial 10 Mode | Continuous Data | Average of Position | Central Tendency

Tutorial 10 Mode | Continuous Data | Average of Position | Central Tendency

Tutorial 9 Mode | Individual Data & Discrete Data | Average of Position | Central Tendency

Tutorial 9 Mode | Individual Data & Discrete Data | Average of Position | Central Tendency

Lecture 2.6.1 Median, Quartiles, Deciles & Percentiles | Positional Average | Central Tendency

Lecture 2.6.1 Median, Quartiles, Deciles & Percentiles | Positional Average | Central Tendency

Lecture 2.5.3 Median | Continuous data | Positional Average | Measures of Central Tendency

Lecture 2.5.3 Median | Continuous data | Positional Average | Measures of Central Tendency

#shorts Aptitude Squares with number 3 only | Maths Shortcuts | Short Tricks | Reasoning |

#shorts Aptitude Squares with number 3 only | Maths Shortcuts | Short Tricks | Reasoning |

Lecture 2.5.2 Median | Discrete data | Positional Average | Measures of Central Tendency

Lecture 2.5.2 Median | Discrete data | Positional Average | Measures of Central Tendency

Lecture 2.5.1 Median | Individual data | Positional Average | Measures of Central Tendency |

Lecture 2.5.1 Median | Individual data | Positional Average | Measures of Central Tendency |

Lecture 2.4 Relationship between AM, GM & HM | Measures of Central Tendency | Mathematical Averages

Lecture 2.4 Relationship between AM, GM & HM | Measures of Central Tendency | Mathematical Averages

Lecture 2.3 Harmonic Mean | Measures of Central Tendency | Mathematical Averages

Lecture 2.3 Harmonic Mean | Measures of Central Tendency | Mathematical Averages

Lecture 2.2 Geometric Mean | Measures of Central Tendency | Mathematical Averages

Lecture 2.2 Geometric Mean | Measures of Central Tendency | Mathematical Averages

Lecture 2.1.4 Arithmetic Mean (Continuous data or Grouped data) | Measures of Central Tendency

Lecture 2.1.4 Arithmetic Mean (Continuous data or Grouped data) | Measures of Central Tendency

#shorts Aptitude

#shorts Aptitude

Lecture 2.1.3 Arithmetic Mean (Discrete data or Grouped Data) | Measures of Central Tendency

Lecture 2.1.3 Arithmetic Mean (Discrete data or Grouped Data) | Measures of Central Tendency

Lecture 2.1.2 Arithmetic Mean (Individual data or Grouped Data) | Measures of Central Tendency

Lecture 2.1.2 Arithmetic Mean (Individual data or Grouped Data) | Measures of Central Tendency

Lecture 2.1.1 Statistical Measures- Measures of Central Tendency- Averages-When to apply AM, GM, HM?

Lecture 2.1.1 Statistical Measures- Measures of Central Tendency- Averages-When to apply AM, GM, HM?

Lecture 1.5 Statistical Process - Statistical Analysis- Descriptive & Inferential Statistics

Lecture 1.5 Statistical Process - Statistical Analysis- Descriptive & Inferential Statistics

Lecture 1.4.5 Statistical Process Data Presentation Charts- Dimensional (2-D)

Lecture 1.4.5 Statistical Process Data Presentation Charts- Dimensional (2-D)

Lecture 1.4.4 Statistical Process Data Presentation Charts- Pictograph, Cartogram, Dimensional (1-D)

Lecture 1.4.4 Statistical Process Data Presentation Charts- Pictograph, Cartogram, Dimensional (1-D)

Lecture 1.4.3 - Statistical Process-Data Processing-Presentation-Graph- Frequency Based Graph

Lecture 1.4.3 - Statistical Process-Data Processing-Presentation-Graph- Frequency Based Graph

Lecture 1.4.2 - Statistical Process-Data Processing-Presentation-Graph- Time Based Graph

Lecture 1.4.2 - Statistical Process-Data Processing-Presentation-Graph- Time Based Graph

Lecture 1.4.1 - Statistical Process-Data Processing-Presentation-Tabulation

Lecture 1.4.1 - Statistical Process-Data Processing-Presentation-Tabulation

Tutorial-8 t-test for two Sample- Paired t test.

Tutorial-8 t-test for two Sample- Paired t test.

Lecture 1.3 - Statistical Process-Data Processing-Editing, Coding & Classification

Lecture 1.3 - Statistical Process-Data Processing-Editing, Coding & Classification

Tutorial-7 t-test for One Sample

Tutorial-7 t-test for One Sample

Tutorial-5 Chi Square Test - 1

Tutorial-5 Chi Square Test - 1

Tutorial -4 (Median)

Tutorial -4 (Median)

Tutorial -3 (Index Number)

Tutorial -3 (Index Number)

Tutorial -2 Sampling Theory | Sampling Method technique types

Tutorial -2 Sampling Theory | Sampling Method technique types

Lecture 1.2 - Statistical Process-Data Collection

Lecture 1.2 - Statistical Process-Data Collection

Tutorial -1 Normal Distribution | standard Normal Curve

Tutorial -1 Normal Distribution | standard Normal Curve

Lecture 1.1 - Introduction to Statistics - Basic definition with Statistical Process

Lecture 1.1 - Introduction to Statistics - Basic definition with Statistical Process

Transportation Model (Process or Flow Chart to solve Transportation Problem)

Transportation Model (Process or Flow Chart to solve Transportation Problem)

Transportation Model (Stepping - Stone Method for Optimal Solution)

Transportation Model (Stepping - Stone Method for Optimal Solution)

Transportation Model (Modified Distribution Method or MODI Method for Optimal Solution)

Transportation Model (Modified Distribution Method or MODI Method for Optimal Solution)

Degeneracy (How to remove degeneracy from IBFS?)

Degeneracy (How to remove degeneracy from IBFS?)

Degeneracy (How to identify degenerate Solution?)

Degeneracy (How to identify degenerate Solution?)

Transportation Model (Vogel's Approximation Method VAM for IBFS)

Transportation Model (Vogel's Approximation Method VAM for IBFS)

Transportation Model (Least Cost Method for IBFS)

Transportation Model (Least Cost Method for IBFS)

Transportation Model (North -West Corner Rule for IBFS)

Transportation Model (North -West Corner Rule for IBFS)

Transportation Problem | Introduction, Solution & Methods

Transportation Problem | Introduction, Solution & Methods

Simplex Method || Maximization || Linear Programming Problem (LPP)

Simplex Method || Maximization || Linear Programming Problem (LPP)