Suppose that the number of events that occur in a specifiedime is a Poisson random variable with parameter λ . If each event is counted with probability p, independently of every other event, show that the number of events that are counted is a Poisson random variable with parameter λ p . Also, give an intuitive argument as to why this should be so. As an application of the preceding result, suppose that the number of distinct uranium deposits in a given area is a Poisson random variable with parameter λ = 10 . If, in a fixed period of time, each deposit is discovered independently with probability 1 50 , find the probability that (a) exactly 1 (b) at least 1, and (C) at most I deposit is discovered during that time.
Suppose that the number of events that occur in a specifiedime is a Poisson random variable with parameter λ . If each event is counted with probability p, independently of every other event, show that the number of events that are counted is a Poisson random variable with parameter λ p . Also, give an intuitive argument as to why this should be so. As an application of the preceding result, suppose that the number of distinct uranium deposits in a given area is a Poisson random variable with parameter λ = 10 . If, in a fixed period of time, each deposit is discovered independently with probability 1 50 , find the probability that (a) exactly 1 (b) at least 1, and (C) at most I deposit is discovered during that time.
Solution Summary: The author explains that the number of events that are counted is a Poisson random variable with parameter lambda p.
Suppose that the number of events that occur in a specifiedime is a Poisson random variable with parameter
λ
. If each event is counted with probability p, independently of every other event, show that the number of events that are counted is a Poisson random variable with parameter
λ
p
. Also, give an intuitive argument as to why this should be so. As an application of the preceding result, suppose that the number of distinct uranium deposits in a given area is a Poisson random variable with parameter
λ
=
10
. If, in a fixed period of time, each deposit is discovered independently with probability
1
50
, find the probability that (a) exactly 1 (b) at least 1, and (C) at most I deposit is discovered during that time.
2) Suppose we select two values x and y independently from the uniform distribution on
[0,1]. What is the probability that xy
1
2
100 identical balls are rolling along a straight line. They all have speed equal to v, but some of them might move in opposite directions. When two of them collide they immediately switch their direction and keep the speed v. What is the maximum number of collisions that can happen?
Let f(w) be a function of vector w Є RN, i.e. f(w) = 1+e Determine the first derivative and matrix of second derivatives off with respect to w.
Let A Є RN*N be a symmetric, positive definite matrix and bЄ RN a vector. If x ER, evaluate the integral Z(A,b) = e¯xAx+bx dx as a function of A and b.
John throws a fair die with faces labelled 1 to 6. ⚫ He gains 10 points if the die shows 1. ⚫ He gains 1 point if the die shows 2 or 4. • No points are allocated otherwise. Let X be the random variable describing John's gain at each throw. Determine the variance of X.
Female
Male
Totals
Less than High School
Diploma
0.077
0.110
0.187
High School Diploma
0.154
0.201
0.355
Some College/University
0.141
0.129
0.270
College/University Graduate
0.092
0.096
0.188
Totals
0.464
0.536
1.000
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Discrete Distributions: Binomial, Poisson and Hypergeometric | Statistics for Data Science; Author: Dr. Bharatendra Rai;https://www.youtube.com/watch?v=lHhyy4JMigg;License: Standard Youtube License