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Lecture notes

CO2412 Computational Thinking Lecture 19 Notes

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This document contains comprehensive notes from Lecture 19 of the CO2412 course on Computational Thinking, focusing on key probability concepts essential for exam preparation. The lecture provides a detailed review of mutually exclusive and collectively exhaustive events, joint and marginal probabilities, and the use of decision trees to calculate conditional probabilities.

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Uploaded on
August 20, 2024
Number of pages
3
Written in
2023/2024
Type
Lecture notes
Professor(s)
Amin amini
Contains
All classes

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CO2412: Computational Thinking
Lecture 19 – Exam Revision 02

Mutually Exclusive Events
1. Definition
o Mutually Exclusive Events are events that cannot occur
simultaneously.
o Example:

 A = Queen of Diamonds
 B = Queen of Clubs
 Events A and B are mutually exclusive because a single card
cannot be both.
Collectively Exhaustive Events
1. Definition
o Collectively Exhaustive Events cover the entire sample space,
meaning one of the events must occur.
o Example:

 A = Aces
 B = Black Cards
 C = Diamonds
 D = Hearts
 Events B, C, and D are collectively exhaustive and mutually
exclusive since each event covers a distinct part of the
sample space.
2. Example with Coin Toss
o When tossing a coin, the outcomes "Head" (H) and "Tail" (T) are
mutually exclusive and collectively exhaustive.
o Probability of H = 1/2, Probability of T = 1/2, Sum = 1.

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