Look at the 4 probability rules beow, an provide a REAL LIFE example for each. Also, with a Real LIfe EXAMPLE, explain how Disjoint events CAN be dependent. Rule 1. The probability P(A) of any event A satisfies 0 s P(A) s 1. Rule 2. If S is the sample space in a probability model, then P(S) = 1. Rule 3. Two events A and B are disjoint if they have no outcomes in common and so can never occur together. If A and B are disjoint, P(A or B) = P(A) + P(B) This is the addition rule for disjoint events. Rule 4. For any event A, P(A does not occur) = 1 - P(A)
Look at the 4 probability rules beow, an provide a REAL LIFE example for each. Also, with a Real LIfe EXAMPLE, explain how Disjoint events CAN be dependent. Rule 1. The probability P(A) of any event A satisfies 0 s P(A) s 1. Rule 2. If S is the sample space in a probability model, then P(S) = 1. Rule 3. Two events A and B are disjoint if they have no outcomes in common and so can never occur together. If A and B are disjoint, P(A or B) = P(A) + P(B) This is the addition rule for disjoint events. Rule 4. For any event A, P(A does not occur) = 1 - P(A)
MATLAB: An Introduction with Applications
6th Edition
ISBN:9781119256830
Author:Amos Gilat
Publisher:Amos Gilat
Chapter1: Starting With Matlab
Section: Chapter Questions
Problem 1P
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Answer all please
![Look at the 4 probability rules beow , an provide a REAL LIFE example for each. Also, with a Real Llfe EXAMPLE, explain how Disjoint events CAN be
dependent.
Rule 1. The probability P(A) of any event A satisfies 0 < P(A) < 1.
Rule 2. If S is the sample space in a probability model, then P(S) = 1.
Rule 3. Two events A and B are disjoint if they have no outcomes in common and so can never occur together. If A and B are disjoint,
P(A or B) = P(A) + P(B)
This is the addition rule for disjoint events.
Rule 4. For any event A,
P(A does not occur) = 1 - P(A)
%3D](/v2/_next/image?url=https%3A%2F%2Fcontent.bartleby.com%2Fqna-images%2Fquestion%2Feb6fa906-3c7d-40af-a4e1-bd5914abe0ff%2F0d251938-29bf-4102-8784-2503c346b62a%2Fkt96xue_processed.jpeg&w=3840&q=75)
Transcribed Image Text:Look at the 4 probability rules beow , an provide a REAL LIFE example for each. Also, with a Real Llfe EXAMPLE, explain how Disjoint events CAN be
dependent.
Rule 1. The probability P(A) of any event A satisfies 0 < P(A) < 1.
Rule 2. If S is the sample space in a probability model, then P(S) = 1.
Rule 3. Two events A and B are disjoint if they have no outcomes in common and so can never occur together. If A and B are disjoint,
P(A or B) = P(A) + P(B)
This is the addition rule for disjoint events.
Rule 4. For any event A,
P(A does not occur) = 1 - P(A)
%3D
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