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WORKSHOP CALCULATION & SCIENCE  - CITS



           Probability

           Probability  is a fundamental  concept in mathematics and statistics that quantifies  the likelihood  of an event
           occurring. Here are key aspects of the concept of probability:
           Definition

           Probability is a numerical measure of the likelihood that a particular event will occur.
           It  is  expressed  as  a  number  between  O  and  1,  where  O  indicates  impossibility  (event  will  not  occur)  and  1
           indicates certainty (event will occur).
           Types of Probability

           Classical Probability: Based on equally likely outcomes. For example, the probability of rolling a fair six-sided
           die and getting a 3 is 1/6.
           Empirical Probability: Based on observed data or experiments. For example, the probability of raining tomorrow
           based on historical weather data.
           Subjective Probability: Based on personal judgment or beliefs. For example, the probability of a sports team
           winning a match based on a fan’s opinion.

           Events and Sample Space
           An event is a set of outcomes of an experiment. For example, rolling a die and getting an even number.
           The sample space is the set of all possible outcomes of an experiment. For a fair six-sided die, the sample space
           is {1, 2, 3, 4, 5, 6}.
           Calculating Probability
           The probability of an event A, denoted as P{A), is calculated as the ratio of the number of favourable outcomes to
           the total number of possible outcomes.
           For equally likely outcomes, the probability of an event A is given by: P{A)= Total number of outcomes Number of
           favourable outcomes
           Basic Probability Rules

           Complement Rule: The probability of the complement of an event A (not A) is 1 minus the probability of A: P{not
           A)=l-P{A)
           Addition Rule: The probability of the union of two events A and Bis given

           by: P{AUB )=P{A)+P(B)-P{AnB)
           Multiplication Rule: The probability of the intersection of two independent
           events A and B is given by: P{An B)=P{A)xP(B) for independent events.
           Applications

           Probability theory is widely·used in various fields such as statistics, finance, science, engineering, and gaming to
           make predictions, assess risks, and make informed decisions.
           Understanding probability is essential for making informed decisions, analyzing data, and predicting outcomes in
           various real-world scenarios
           Exercises
           Find the mode 8 1 3 8 8 4 9 6 3 8
           Find the mode 3 6 7 2 4 6 8 3

           Find the median 5 9 10 6 8 9
           Find the median 3 6 7 2 4 6 8 3









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                                            CITS : WCS - Electrical - Exercise 9
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