2019 MAT 204 Probability Statistics & Random Process
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5 modules
Malayalam
Lifetime access
Explore the world of probability and statistics in 2019
Overview
This course covers the fundamental concepts of probability, statistics, and random processes within the context of the year 2019. Students will learn about the theoretical and practical aspects of probability, statistical analysis, and the behavior of random processes in various systems. The course also explores real-world applications of these concepts in different fields.
Key Highlights
Fundamental concepts of probability and statistics
Applications of random processes
Real-world examples and case studies
What you will learn
Understanding Probability
Develop a solid understanding of probability theory and its applications in various scenarios.
Statistical Analysis
Learn how to analyze data using statistical methods and tools to draw meaningful conclusions.
Random Process Behavior
Explore the behavior of random processes in systems and how they can be modeled and analyzed.
Modules
Module 1
23 attachments • 30.32 mins
Module 1-1
Module 1-2
DISCRETE RANDOM VARIABLE PROBLRMS PART3
DISCRETE RANDOM VARIABLE PROBLRMS PART4
DISCRETE RANDOM VARIABLE PROBLRMS PART5
DISCRETE RANDOM VARIABLE PROBLRMS PART6
DISCRETE RANDOM VARIABLE PROBLRMS PART7
DISCRETE RANDOM VARIABLE PROBLRMS PART8
DISCRETE RANDOM VARIABLE PROBLRMS PART9
BINOMIAL DISTRIBUTION PART10
BINOMIAL DISTRIBUTION PART11
BINOMIAL DISTRIBUTION PART12
BINOMIAL DISTRIBUTION PART13
BINOMIAL DISTRIBUTION PART14
BINOMIAL DISTRIBUTION PART15
BINOMIAL DISTRIBUTION PART16
POISSON DISTRIBUTION PART17
POISSON DISTRIBUTION PART18
POISSON DISTRIBUTION PART19
POISSON DISTRIBUTION PART20
POISSON DISTRIBUTION PART21
JOINT PMF PART22
JOINT PMF PART23
Module 2
20 attachments
Module2 Part 1
CONTINUOUS RANDOM VARIABLE PART2
CONTINUOUS RANDOM VARIABLE PART3
CONTINUOUS RANDOM VARIABLE PART4
CONTINUOUS RANDOM VARIABLE PART5
UNIFORM DISTRIBUTION PART6
UNIFORM DISTRIBUTION PART7
EXPONENTIAL DISTRIBUTION PART8
EXPONENTIAL DISTRIBUTION PART9
EXPONENTIAL DISTRIBUTION PART10
NORMAL DISTRIBUTION PART11
NORMAL DISTRIBUTION PART12
NORMAL DISTRIBUTION PART13
NORMAL DISTRIBUTION PART15
JOINT PDF PART16
Module2 Part 16
JOINT PDF17
Module2 Part 17
NORMAL DISTRIBUTION PART
S4 Module2 Part 19
Module 3
11 attachments
Random process & Classification of Random process _ MAT204 Module 3_MAT212 Module 4 _S4 2019 _Part 1
Mean ,Variance ,Auto correlation & Auto Covariance_ MAT204 Module 3_MAT212 Module 4 _S4 2019 _Part 2
Mean ,Variance ,Auto correlation & Auto Covariance_ MAT204 Module 3_MAT212 Module 4 _S4 2019 _Part 3
Wide Sense Stationary Process(WSS) _ MAT204 Module 3 _ MAT212 Module 4 _S4 2019 _Part 4
Wide Sense Stationary Process(WSS) _ MAT204 Module 3 _ MAT212 Module 4 _S4 2019 _Part 5
Wide Sense Stationary Process(WSS) _ MAT204 Module 3 _ MAT212 Module 4 _S4 2019 _Part 6
Wide Sense Stationary Process(WSS) _ MAT204 Module 3 _ MAT212 Module 4 _S4 2019 _Part 7
Properties of Auto Correlation _ MAT204 Module 3 _ MAT212 Module 4 _S4 2019 _Part 8
Problems on Properties of Auto Correlation _ MAT204 Module 3 _ MAT212 Module 4 _S4 2019 _Part 9
Wide Sense Stationary Process(WSS) _ MAT204 Module 3 _ MAT212 Module 4 _S4 2019 _Part 10
Wide Sense Stationary Process(WSS) _ MAT204 Module 3 _ MAT212 Module 4 _S4 2019 _Part 11
Module 4
9 attachments
Newton Raphson's Method _ Numerical Methods -1 _ MAT202 _ MAT204 _ Module 4 _ Part 1
Newton Raphson's Method _ Numerical Methods -1 _ MAT202 _ MAT204 _ Module 4 _ Part 2
Regula Falsi Method (False Position)_ Numerical Methods -1_ MAT202 _ MAT204 _ Module 4 _ Part 3
Lagrange's Interpolation Method_ Numerical Methods -1_ MAT202 _ MAT204 _ Module 4 _ Part 4
Lagrange's Interpolation Method_ Numerical Methods -1_ MAT202 _ MAT204 _ Module 4 _ Part 5
Newton Divided Difference Interpolation_ Numerical Methods -1_ MAT202 _ MAT204 _ Module 4 _ Part 6
Newton's Forward & Backward Interpolation_ Numerical Methods 1_ MAT202 _ MAT204 _ Module 4 _ Part 7
Trapezoidal & Simson's One Third Method _ Numerical Methods 1_ MAT202 _ MAT204 _ Module 4 _ Part 8
Trapezoidal & Simson's One Third Method_ Numerical Methods 1_ MAT202 _ MAT204 _ Module 4 _ Part 9
Module 5
8 attachments
Gauss Jacobi Method _ Numerical Methods 2_ MAT202 _ MAT204 _ Module 5_ Part 1
Gauss Seidel Method _ Numerical Methods 2_ MAT202 _ MAT204 _ Module 5_ Part 2
Curve Fitting - Straight Lines & Parabola _ Numerical Methods 2_ MAT202 _ MAT204 _ Module 5_ Part 3
Curve Fitting - Straight Lines & Parabola _ Numerical Methods 2_ MAT202 _ MAT204 _ Module 5_ Part 4
Euler's Method _ Numerical Methods 2_ MAT202 _ MAT204 _ Module 5_ Part 5
Runge Kutta Method of Order 2 _ Numerical Methods 2_ MAT202 _ MAT204 _ Module 5_ Part 6
Runge Kutta Method of Order 4 _ Numerical Methods 2_ MAT202 _ MAT204 _ Module 5_ Part 7
Adam's Predictor & Corrector Method _ Numerical Methods 2_ MAT202 _ MAT204 _ Module 5_ Part 8
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