2019 MAT 202 Probability Statistics & Numerical Methods
Learn withRVS Maths Academy
5 modules
Malayalam
Access till 2025-12-31
Master the essentials of probability, statistics, and numerical methods for practical applications.
Overview
This course covers the fundamentals of probability, statistics, and numerical methods with a focus on applications and problem-solving. Students will learn key concepts and techniques to analyze data, make informed decisions, and solve engineering problems using various numerical methods and statistical tools. The course also explores real-world applications of probability and statistics in different fields.
Key Highlights
Fundamentals of probability
Statistics and data analysis
Numerical methods for engineering problems
Real-world applications
Problem-solving techniques
What you will learn
Understanding Probability Theory
Learn the basic principles and concepts of probability theory and its applications.
Statistical Data Analysis
Gain proficiency in statistical tools and techniques for data analysis and interpretation.
Numerical Methods in Engineering
Explore numerical methods used in engineering to solve complex problems efficiently.
Application in Real World
Discover the practical applications of probability, statistics, and numerical methods in various fields.
Modules
Module 1
23 attachments • 11 hrs
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 • 28.24 mins
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 PART
NORMAL DISTRIBUTION PART15
JOINT PDF PART16
JOINT PDF17
joint pdf Part 18
Central limit theorem Part 19
central limit theorem part20
Module 3
14 attachments
Population & sample, Sampling distribution _ Statistical Inference_ MAT202_ MAT208 _Module 3_ Part 1
Confidence Interval _ Statistical Inference_ MAT202 _ MAT208 _ Module 3_ Part 2
Confidence Interval More Problems _ Statistical Inference_ MAT202 _ MAT208 _ Module 3_ Part 3
Confidence interval Problems on Proportion _ Statistical Inference_ MAT202 _MAT208 _Module 3_ Part 4
Testing of Hypothesis _ Statistical Inference _ MAT202 _ MAT208 _ Module 3_ Part 5
Testing of Hypothesis -Single Mean _ Statistical Inference _ MAT202 _ MAT208 _ Module 3_ Part 6
Testing of hypothesis -single Mean Problems_ Statistical Inference_ MAT202 _MAT208 _Module 3_ Part 7
Testing of hypothesis -single Mean Problems_ Statistical Inference_ MAT202 _MAT208 _Module 3_ Part 8
Testing of hypothesis Mean of two Population_Statistical Inference_ MAT202 _MAT208 _Module 3_ Part 9
Testing of hypothesis Mean of two Population_Statistical Inference_ MAT202 _MAT208 _Module 3_ Part10
Testing of hypothesis Mean of two Population_Statistical Inference_ MAT202 _MAT208 _Module 3_ Part11
Testing of hypothesis Mean of two Population_Statistical Inference_ MAT202 _MAT208 _Module 3_ Part12
Testing of hypothesis Population Proportion_Statistical Inference_ MAT202 _MAT208 _Module 3_ Part13
Testing of hypothesis Proportion Two Population_Statistical Inference_ MAT202_MAT208_Module 3_Part14
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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