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Description 0
This series is completely for beginners if you don't know the basics its completely fine then also you can easy learn from this series and understand the complex concept of maths 4 in a easy way
Branches Covered ( Comps , Mechanical , Civil , EXTC , Electrical , Electronics )
Handmade Notes : Notes are Brilliant , Easy Language , East to understand ( Student Feedback )
Exam ke Pehle Notes ek baar Dekhlo revision aise hi jata hai
Complex Integration
Matrices / Linear Algebra : Matrix Theory
Probability
Sampling
Mathematical Programming
Vector Calculus (Mech /Civil )
Linear Programming ( Mech /Civil )
Correlation (EXTC/Electrical/Electronics)
Coming Soon
Nonlinear Programming
Calculus of Variation
Linear Algebra : Vector spaceNo items in this section -
Statistical Techniques I 10
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Introduction to Probability Distribution 07 minLecture2.1
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Discrete Random Variable in Probability Distribution 15 minLecture2.2
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Distribution function of Discrete Random Variable 10 minLecture2.3
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Continuous Random Variable in Probability Distribution 09 minLecture2.4
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Continuous Distribution Function in Probability Distribution 14 minLecture2.5
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Expectation in Probability Distribution 15 minLecture2.6
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Mean and Variance Part 1 in Probability Distribution 11 minLecture2.7
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Mean and Variance Part 2 in Probability Distribution 13 minLecture2.8
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Moments and Moments Generating Function Part #1 in Probability Distribution 13 minLecture2.9
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Moments and Moments Generating Function Part #2 in Probability Distribution 11 minLecture2.10
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Statistical Techniques II 14
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Introduction to Probability Distribution Copy 07 minLecture3.1
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Discrete Random Variable in Probability Distribution Copy 15 minLecture3.2
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Distribution function of Discrete Random Variable Copy 10 minLecture3.3
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Continuous Random Variable in Probability Distribution Copy 09 minLecture3.4
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Continuous Distribution Function in Probability Distribution Copy 14 minLecture3.5
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Expectation in Probability Distribution Copy 12 minLecture3.6
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Mean and Variance Part 1 in Probability Distribution Copy 11 minLecture3.7
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Mean and Variance Part 2 in Probability Distribution Copy 13 minLecture3.8
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Moments and Moments Generating Function Part #1 in Probability Distribution Copy 13 minLecture3.9
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Moments and Moments Generating Function Part #2 in Probability Distribution Copy 11 minLecture3.10
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Binomial Probability Distribution Copy 18 minLecture3.11
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Poisson Distribution with Solved Example Copy 11 minLecture3.12
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Normal Distribution Full Basic Concept Copy 12 minLecture3.13
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Normal distribution with Solved Example Copy 20 minLecture3.14
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Statistical Techniques III 11
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What Is Sampling Copy 08 minLecture4.1
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Large Sampling Problems Copy 16 minLecture4.2
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Large Sampling Test Theory+Numerical Copy 16 minLecture4.3
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Hypothesis Testing Full concept Copy 02 minLecture4.4
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Testing Difference Between Means(case_1) With Examples Copy 11 minLecture4.5
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Small Sample Test Example Copy 13 minLecture4.6
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Small Sample Test Copy 04 minLecture4.7
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Testing Difference Between Means(case_1) With Examples Part 2 Copy 05 minLecture4.8
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Testing Difference Between Means(case_2) Copy 12 minLecture4.9
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Non Parametric Test Type_1_Numerical Copy 08 minLecture4.10
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Non Parametric Test Copy 04 minLecture4.11
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Introduction to Probability Distribution Copy
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