PROBABILITY AND STATISTICS
CAT 1(CO1&2) Book material
CO1:✓(17.5-20.5marks)
MODULE 1: INTRODUCTION TO PROBABILITY
1. (i) - Events, Sample spaces:-https://drive.google.com/file/d/1UE0kB5DSgcZUM6QoAuzxfBNV96rq-Dga/view?usp=drivesdk
Meet recordings:-
1. (ii) - Definition and Axioms of Probability:-https://drive.google.com/file/d/1Xho2rRUlQysyscTmxdQj-LldAa43g0sk/view?usp=drivesdk
Meeting recording:-https://drive.google.com/drive/folders/14DCk86E3Q3vEEHeMXNoyqMh0CaxRarny
1.(iii) - Independent Events, Hughens problem, Conditional Probability:-
Meeting recording:-https://drive.google.com/drive/folders/1YwGlJgcaaq-drLXXkOzvX8hOY3yPIPc6
1.(iv) - BAYES THEOREM:-
Meeting recording:-
CO2✓(9-12 Marks)
MODULE 2 : PROBABILITY DISTRIBUTIONS
2.(i).Random variables, Discrete and continuous:- https://drive.google.com/file/d/1cnDpMXQ1OO07znQZzr_n3vYOEaCGsJUK/view?usp=drivesdk
2.(ii). Expectations and 2.(iii) Higher Order Moments:- https://drive.google.com/file/d/1co7OmlXxvoESXiwu8a7rWRHh22EFwCM9/view?usp=drivesdk
2.(iv). MOMENT GENERATING FUNCTION:- https://drive.google.com/file/d/1cplJU0wUk0Z2gVJUPGFeGD9Mfqp0H3F6/view?usp=drivesdk
CO3✓(17.5-20.5marks)
2.(v). BINOMIAL & POISSON DISTRIBUTION:- https://drive.google.com/file/d/1m7uFy0QUK_f4Ph707MD5GKRm3vaF4reV/view?usp=drivesdk
Meet recordings:-
2.(vi).NORMAL DISTRIBUTION:-
MODULE 3: REGRESSION AND ESTIMATION.
CO4✓(9-12 marks)
3.(i). Least Square Estimation, Methods of Least Squares:
3.(ii). REGRESSION AND 3.(iii).LINEAR REGRESSION:- https://drive.google.com/file/d/1pnIQiUcWwG4MrXOKYF3bZf575Ev8AmkZ/view?usp=drivesdk
CO5✓(17.5-20.5marks)
ESTIMATORS AND MAXIMUM LIKELIHOOD
Module 4: Testing of Hypothesis
CO6✓ (17.5-20.5marks)
VERY GOOD JOB BRO
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