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4. If A and B are mutually exclusive events and both have nonzero probabilities, then it is impossible for them to be independent events. 5. Any event A is independent of the sample space . 6. If the events say A and B to be independent, then P (A U B) = P(A) + P(B).

4. If A and B are mutually exclusive events and both have nonzero probabilities, then it is impossible for them to be independent events. 5. Any event A is independent of the sample space . 6. If the events say A and B to be independent, then P (A U B) = P(A) + P(B).

MATLAB: An Introduction with Applications
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 4,5,6 only write true or false

1. An algebra is non-empty, closed under complementation, and closed under finite union. 2. The smallest o-algebra will always contain . 3. The first central moment about the mean is 1. 4. If A and B are mutually exclusive events and both have nonzero probabilities, then it is impossible for them to be independent events. 5. Any event A is independent of the sample space 2. 6. If the events say A and B to be independent, then P (A U B) = P(A) + P(B). 7. The second central moment of a random variable X about a constant c is minijſnized if c equals the first raw moment of X. 8. Permutation are arrangement without regard to order. 9. P(AUB)=P(A)P(BIA) if independent. 10. The probability that it will rain tomorrow is 0.4 and the probability that it will not rain tomorrow is 0.53? 11. Classical Probability is also called Posteriori Probability. 12. If S1, S2,,,,,Sn are mutually exclusive the they are exhaustive. 13. P(A-B) = P(A)-P(AUB). 14. Inclusion and Exclusion Formula is used for n-stage probability and all the events are independent. 15. The word "or" means intersection while "and" means union.
Transcribed Image Text:1. An algebra is non-empty, closed under complementation, and closed under finite union. 2. The smallest o-algebra will always contain . 3. The first central moment about the mean is 1. 4. If A and B are mutually exclusive events and both have nonzero probabilities, then it is impossible for them to be independent events. 5. Any event A is independent of the sample space 2. 6. If the events say A and B to be independent, then P (A U B) = P(A) + P(B). 7. The second central moment of a random variable X about a constant c is minijſnized if c equals the first raw moment of X. 8. Permutation are arrangement without regard to order. 9. P(AUB)=P(A)P(BIA) if independent. 10. The probability that it will rain tomorrow is 0.4 and the probability that it will not rain tomorrow is 0.53? 11. Classical Probability is also called Posteriori Probability. 12. If S1, S2,,,,,Sn are mutually exclusive the they are exhaustive. 13. P(A-B) = P(A)-P(AUB). 14. Inclusion and Exclusion Formula is used for n-stage probability and all the events are independent. 15. The word "or" means intersection while "and" means union.
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