12. The events having no experimental outcomes in common is called: a) Equally likely events « b) Exhaustive events c) Mutually exclusive events d) Independent events 13. When the occurrence of one event has no effect on the probability of the occurrence of another event, the events are called: a) Independent e b) Dependent e c) Mutually exclusive « d) Equally likely 14. The probability density function of a Markov process is a) p(x1,x2,x3..xn) = p(x1)p(x2/x1)p(x3/x2)..p(xn/xn-1)« b) p(x1,x2,x3..xn) = p(x1)p(x1/x2)p(x2/x3)...p(xn-1/xn) c) p(x1,x2,x3...xn) = p(x1)p(x2)p(x3)...(xn)« d) p(x1,x2,x3..xn) = p(x1)p(x2 *x1)p(x3*x2)...p(xn*xn-1) « 15. The discrete probability distribution in which the outcome is very small with a very small period of time is classified as a) Posterior distribution b) Cumulative distribution c) Normal distribution d) Poisson distribution 16. In a Poisson Distribution, the mean and variance are equal. a) True b) False
12. The events having no experimental outcomes in common is called: a) Equally likely events « b) Exhaustive events c) Mutually exclusive events d) Independent events 13. When the occurrence of one event has no effect on the probability of the occurrence of another event, the events are called: a) Independent e b) Dependent e c) Mutually exclusive « d) Equally likely 14. The probability density function of a Markov process is a) p(x1,x2,x3..xn) = p(x1)p(x2/x1)p(x3/x2)..p(xn/xn-1)« b) p(x1,x2,x3..xn) = p(x1)p(x1/x2)p(x2/x3)...p(xn-1/xn) c) p(x1,x2,x3...xn) = p(x1)p(x2)p(x3)...(xn)« d) p(x1,x2,x3..xn) = p(x1)p(x2 *x1)p(x3*x2)...p(xn*xn-1) « 15. The discrete probability distribution in which the outcome is very small with a very small period of time is classified as a) Posterior distribution b) Cumulative distribution c) Normal distribution d) Poisson distribution 16. In a Poisson Distribution, the mean and variance are equal. a) True b) False
Linear Algebra: A Modern Introduction
4th Edition
ISBN:9781285463247
Author:David Poole
Publisher:David Poole
Chapter3: Matrices
Section3.7: Applications
Problem 12EQ:
12. Robots have been programmed to traverse the maze shown in Figure 3.28 and at each junction...
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