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Calculate K, Mean & Variance in Discrete Random Variable
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For notes WhatsApp: +91 9324125031
more details below.
Notes:
[I/II]MATHS- 4 Price: ( Rs.99 )
Topics covered are:
1. Eigenvalues & Eigenvectors
* Cayley - Hamilton Theorem
* Derogatory & Non - Derogatory Matrices
* Function of Square Matrix
* Eigenvalues & Eigenvectors
* Diagonalizable Matrix
* Theorems & Proofs
2. Probability
* Probability & Mathematical Expectation
* Some Standard Distributions
* Binomial Distribution
* Poisson Distribution
* Normal Distribution
* Bayes' Theorem
3. Complex Integration
* Complex Integration
* Cauchy's Theorem
* Taylor's & Laurent's series
* Residues
4. Sampling
* Large Sample Test
* Small Sample Test
* Independence of Attributes
* Goodness of Fitting
5. Non - Linear Programming
* Type 1: Inequality with one subjected condition ( Kuhn - Tucker)
* Type 2: Inequality with two subjected conditions ( Kuhn - Tucker )
* Type 3: No subjected condition
* Type 4: Equality with one subjected condition
* Type 5: Equality with two subjected conditions
[II/II]Module Name- Probability Price: ( Rs.49)
Topics Covered are:-
* Probability & Mathematical Expectation (Discrete & Continues Random Variable, Moment Generating Function, Raw & Central Moment)
* Binomial Distribution
* Poisson Distribution
* Normal Distribution
* Bayes' Theorem
--------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------
* Maths 4 entire Playlist :
* Eigenvalues & Eigenvectors Playlist:
*Gears used for this YouTube Channel ( calculator link included ):
*Let's connect:
#To_Purchase_Notes_Whatsapp_9324125031
more details below.
Notes:
[I/II]MATHS- 4 Price: ( Rs.99 )
Topics covered are:
1. Eigenvalues & Eigenvectors
* Cayley - Hamilton Theorem
* Derogatory & Non - Derogatory Matrices
* Function of Square Matrix
* Eigenvalues & Eigenvectors
* Diagonalizable Matrix
* Theorems & Proofs
2. Probability
* Probability & Mathematical Expectation
* Some Standard Distributions
* Binomial Distribution
* Poisson Distribution
* Normal Distribution
* Bayes' Theorem
3. Complex Integration
* Complex Integration
* Cauchy's Theorem
* Taylor's & Laurent's series
* Residues
4. Sampling
* Large Sample Test
* Small Sample Test
* Independence of Attributes
* Goodness of Fitting
5. Non - Linear Programming
* Type 1: Inequality with one subjected condition ( Kuhn - Tucker)
* Type 2: Inequality with two subjected conditions ( Kuhn - Tucker )
* Type 3: No subjected condition
* Type 4: Equality with one subjected condition
* Type 5: Equality with two subjected conditions
[II/II]Module Name- Probability Price: ( Rs.49)
Topics Covered are:-
* Probability & Mathematical Expectation (Discrete & Continues Random Variable, Moment Generating Function, Raw & Central Moment)
* Binomial Distribution
* Poisson Distribution
* Normal Distribution
* Bayes' Theorem
--------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------
* Maths 4 entire Playlist :
* Eigenvalues & Eigenvectors Playlist:
*Gears used for this YouTube Channel ( calculator link included ):
*Let's connect:
#To_Purchase_Notes_Whatsapp_9324125031
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