The number of goals that J scores in soccer games that her team wins is Poisson distributed with mean 2, while the number she scores in games that her team loses is Poisson distributed with mean 1. Assume that, independent of earlier results, J’s team wins each new game it plays with probability a. Find the expected number of goals that J scores in her team’s next game. b. Find the probability that J scores 6 goals in her next 4 games. Hint: Would it be useful to know how many of those games were won by J’s team. Suppose J’s team has just entered a tournament in which it will continue to play games until it loses. Let X denote the total number of goals scored by J in the tournament. Also, let N be the number of games her team plays in the tournament. a. Find E[X]. b. Find P ( X = 0 ) . c. Find P ( N = 3 | X = 5 ) .
The number of goals that J scores in soccer games that her team wins is Poisson distributed with mean 2, while the number she scores in games that her team loses is Poisson distributed with mean 1. Assume that, independent of earlier results, J’s team wins each new game it plays with probability a. Find the expected number of goals that J scores in her team’s next game. b. Find the probability that J scores 6 goals in her next 4 games. Hint: Would it be useful to know how many of those games were won by J’s team. Suppose J’s team has just entered a tournament in which it will continue to play games until it loses. Let X denote the total number of goals scored by J in the tournament. Also, let N be the number of games her team plays in the tournament. a. Find E[X]. b. Find P ( X = 0 ) . c. Find P ( N = 3 | X = 5 ) .
Solution Summary: The author calculates the probability that J scores 6 goals in her next 4 games.
The number of goals that J scores in soccer games that her team wins is Poisson distributed with mean 2, while the number she scores in games that her team loses is Poisson distributed with mean 1. Assume that, independent of earlier results, J’s team wins each new game it plays with probability
a. Find the expected number of goals that J scores in her team’s next game.
b. Find the probability that J scores 6 goals in her next 4 games.
Hint: Would it be useful to know how many of those games were won by J’s team. Suppose J’s team has just entered a tournament in which it will continue to play games until it loses. Let X denote the total number of goals scored by J in the tournament. Also, let N be the number of games her team plays in the tournament.
Q1. A group of five applicants for a pair of identical jobs consists of three men and two
women. The employer is to select two of the five applicants for the jobs. Let S
denote the set of all possible outcomes for the employer's selection. Let A denote
the subset of outcomes corresponding to the selection of two men and B the subset
corresponding to the selection of at least one woman. List the outcomes in A, B,
AUB, AN B, and An B. (Denote the different men and women by M₁, M2, M3
and W₁, W2, respectively.)
Q3 (8 points)
Q3. A survey classified a large number of adults according to whether they were diag-
nosed as needing eyeglasses to correct their reading vision and whether they use
eyeglasses when reading. The proportions falling into the four resulting categories
are given in the following table:
Use Eyeglasses for Reading
Needs glasses Yes
No
Yes
0.44
0.14
No
0.02
0.40
If a single adult is selected from the large group, find the probabilities of the events
defined below. The adult
(a) needs glasses.
(b) needs glasses but does not use them.
(c) uses glasses whether the glasses are needed or not.
4. (i) Let a discrete sample space be given by
N = {W1, W2, W3, W4},
and let a probability measure P on be given by
P(w1) = 0.2, P(w2) = 0.2, P(w3) = 0.5, P(wa) = 0.1.
Consider the random variables X1, X2 → R defined by
X₁(w1) = 1, X₁(w2) = 2,
X2(w1) = 2, X2 (w2) = 2,
Find the joint distribution of X1, X2.
(ii)
X1(W3) = 1, X₁(w4) = 1,
X2(W3) = 1, X2(w4) = 2.
[4 Marks]
Let Y, Z be random variables on a probability space (, F, P).
Let the random vector (Y, Z) take on values in the set [0, 1] x [0,2] and let the
joint distribution of Y, Z on [0, 1] x [0,2] be given by
1
dPy,z (y, z) ==(y²z+yz2) dy dz.
harks 12 Find the distribution Py of the random variable Y.
[8 Marks]
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