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.
b. According to the analyst, what is the probability that the
confidence score is not 1?
11. Professor Sanchez has been teaching Principles of Economics
for over 25 years. He uses the following scale for grading.
Grade
Numerical Score
Probability
A
4
0.10
B
3
0.30
C
2
0.40
D
1
0.10
F
O
0.10
a. Depict the probability distribution graphically. Comment
on whether or not the probability distribution is symmetric.
b. Convert the probability distribution to a cumulative
probability distribution.
C.
What is the probability of earning at least a B in Professor
Sanchez's course?
d. What is the probability of passing Professor Sanchez's
course?
2. Professor Khurana expects to be able to use her grant money
to fund up to two students for research assistance. While she
realizes that there is a 5% chance that she may not be able to
fund any student, there is an 80% chance that she will be able
to fund two students.
a.
What
hat is the pro
Among a student group 54% use Google Chrome, 20% Internet Explorer, 10% Firefox, 5% Mozilla, and the rest use Safari. What is the probability that you need to pick 7 students to find 2 students using Google Chrome? Report answer to 3 decimals.
Samples of rejuvenated mitochondria are mutated (defective) with a probability 0.13. Find the probability that at most one sample is mutated in 10 samples. Report answer to 3 decimal places.
Need a deep-dive on the concept behind this application? Look no further. Learn more about this topic, probability and related others by exploring similar questions and additional content below.
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