Embedded Files
Session Plan :
Session Plan :
10 mins: Moment Generating Function with examples
10 mins: Moment Generating Function with examples
10 mins: MGF of DRV -Definition and Example problems
20 mins: MGF of CRV -Definition and Example problems
10 mins: Discussion and Summary
Lecture Material : (PDF, PPT)
Lecture Material : (PDF, PPT)
L10.pdfLearning Material (IV Quadrant Approach)
Learning Material (IV Quadrant Approach)
(Q1) : Text and Image based Content (PDF/Image Formats)
(Q1) : Text and Image based Content (PDF/Image Formats)
(Q2) : Video Based Content (Youtube)
(Q2) : Video Based Content (Youtube)
(Q3) : Formative Assessment (Google Form/Any Other Online Quiz Platform)
(Q3) : Formative Assessment (Google Form/Any Other Online Quiz Platform)
(Q4) : Further Reading https://drive.google.com/drive/folders/1Fx8ABw-uhxShEKrTv6icRf-d34M0ZEj_?usp=drive_link
(Q4) : Further Reading https://drive.google.com/drive/folders/1Fx8ABw-uhxShEKrTv6icRf-d34M0ZEj_?usp=drive_link
Key QuestionGiven that XXX is a discrete random variable with probability mass function
Key QuestionGiven that XXX is a discrete random variable with probability mass function
State and explain the property of MGF that “If it exists in an open interval containing 000, it uniquely determines the distribution.”
Verify this property for the normal distribution N(μ,σ2)N(\mu, \sigma^2)N(μ,σ2) by deriving its MGF.
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