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Session Plan :
Session Plan :
10 mins: Definition and Types of Random Variable with examples
10 mins: Definition and Types of Random Variable with examples
10 mins: Discrete Random Variable with example problems
20 mins: Mean and Variance of Discrete Random Variable with example problems
10 mins: Discussion and Summary
Lecture Material : (PDF, PPT)
Lecture Material : (PDF, PPT)
L3.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 Questions
Key Questions
1. A coin is tossed 3 times. Let X be the number of heads obtained. X can take values {0, 1, 2, 3}. Find the probability distribution of X.
A bag contains 3 red balls and 2 blue balls. One ball is drawn at random. Let X = 1 if a red ball is drawn, and X = 0 if a blue ball is drawn. Write the probability distribution of X.
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