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Probabilities.

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Presentation on theme: "Probabilities."— Presentation transcript:

1 Probabilities

2 Events & Operations on it.
An Event is a set of outcomes of an experiment. The diagram shows that A is a set of outcomes of the experiment B.

3 Events & Operations on it.
Probability P of an event A = n(A)/n(Ω). Ω is the Sample Space. 0 ≤ P ≥ 1. Probability of a certain event = 1. Probability of impossible event = 0.

4 Events & Operations on it.
Intersection between two events (A∩B) means the occurrence of A and B together. Union between two events (AUB) means the occurrence of at least one event A or B. Rules: P(A∩B)= (A∩B)/Ω. P(AUB)= P(A) + P(B) - P(A∩B). Example: A card is selected from a pack of cards numbered 1 to 19. What is the probability that the card has an odd number? What is the probability that the card has a prime number? What is the probability that the card is an odd and prime number?

5 Events & Operations on it.
Solution: Sample space S= {1,2,3,4,5,6,7,….,19} Odd numbers A={1,3,5,7,9,11,13,15,17,19} Prime numbers B={1,2,3,5,7,11,13,17,19} (A∩B)={1,3,5,7,11,13,17,19} (AUB)={1,2,3,5,7,9,11,13,15,17,19} So, P(A)=10/19 & P(B)=9/19 P (A∩B)= 8/19 P(AUB)= 11/19 = P(A) + P(B) - P(A∩B) = 10/19+9/19-8/19= 11/19

6 Events & Operations on it.
Note that: If A ⊂ B then: (A∩B) = A and P(A∩B) = P(A). (AUB) = B and P(AUB) = P(B). Mutually exclusive events are the events that can’t occur together. P(A∩B) = 0. P(AUB) = P(A) + P(B)

7 Complementary Events Complementary event of A is À means the occurrence of one of them only. (AUÀ) = Ω. P(AUÀ) = 1. (A∩À) = Ø. P(A∩À) = 0. P(A) = 1 - P(À). P(À) = 1 – P(A).

8 Difference between events
The occurrence of one event and the non occurrence of the other. (A-B)= (A) – (A∩B). P(A-B)= P(A) – P(A∩B). Example: Suppose that A and B are events in a random experiment. Given that P(A)=0.53, P(B’)=0.46, and P(AUB)=0.61, determine P(B - A).

9 Difference between events
Solutions: P(A) = 0.53 P(B) = 1 – P(B’) = 1 – 0.46 = 0.54 P(AUB) = 0.61 P(A∩B) = P(A) + P(B) – P(AUB) = – 0.61= 0.46 P(B-A) = P(B) – P(B∩A) = 0.54 – 0.46 = 0.08


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