Pearson eText for Probability and Statistical Inference -- Instant Access (Pearson+)
10th Edition
ISBN: 9780137538461
Author: Robert Hogg, Elliot Tanis
Publisher: PEARSON+
expand_more
expand_more
format_list_bulleted
Question
Chapter 4.4, Problem 1E
(a)
To determine
To find: The marginal
(b)
To determine
To check: Whether the variables X and Y are independent or not.
(c)
To determine
To find: The mean and variance of X and Y.
(c)
To determine
To find: The
Expert Solution & Answer
Want to see the full answer?
Check out a sample textbook solutionStudents have asked these similar questions
b) Consider a random variable X which takes on values 1 and 2 with
probability 0.25 and 0.75, respectively (i.e.
P[x = 1] = 0.25 and P[x = 2] = 0.75
i) Determine the mean and variance of X.
ii) Plot the probability density function (pdf) and probability distribution
function
(PDF) of X
Random variables Y₁,... Yn follow the probability density distribution:
f(y|0)
= { v
with known expected values E[Y] = 20 and Var[Y] = 202.
a.) Find the maximum likelihood estimate of 0.
b.) Find E[] and V(A)
y >0
otherwise
c.) Is this a biased estimator?
Let f(x, y) = x + y for 0 < x < 1 and 0 < y < 1
The Conditional Variance of Y when X = ; is
Chapter 4 Solutions
Pearson eText for Probability and Statistical Inference -- Instant Access (Pearson+)
Ch. 4.1 - For each of the following functions, determine the...Ch. 4.1 - Roll a pair of four-sided dice, one red and one...Ch. 4.1 - Let the joint pmf of X and Y be defined by...Ch. 4.1 - Select an (even) integer randomly from the set...Ch. 4.1 - Each part of Figure 4.1-5 depicts the sample space...Ch. 4.1 - The torque required to remove bolts in a steel...Ch. 4.1 - Roll a pair of four-sided dice, one red and one...Ch. 4.1 - Each part of Figure 4.1-6 depicts the sample space...Ch. 4.1 - A particle starts at (0,0) and moves in one-unit...Ch. 4.1 - In a smoking survey among boys between the ages of...
Ch. 4.1 - A manufactured item is classified as good, a...Ch. 4.2 - Prob. 1ECh. 4.2 - Prob. 2ECh. 4.2 - Roll a fair four-sided die twice. Let X equal the...Ch. 4.2 - Let X and Y have a trinomial distribution with...Ch. 4.2 - Prob. 5ECh. 4.2 - The joint pmf of X and Y is f(x,y)=16,0x+y2, where...Ch. 4.2 - Determine the correlation coefficient p for each...Ch. 4.2 - Determine the correlation coefficient p for each...Ch. 4.2 - Let the joint pmf of X and Y be...Ch. 4.2 - A certain raw material is classified as to...Ch. 4.2 - Prob. 11ECh. 4.2 - If the correlation coefficient exists, show that...Ch. 4.3 - Let X and Y have the joint pmf...Ch. 4.3 - Let the joint pmf f(x,y) of X and Y be given by...Ch. 4.3 - Let W equal the weight of laundry soap in a...Ch. 4.3 - The gene for eye color in a certain male fruit fly...Ch. 4.3 - Let X and Y have a trinomial distribution with...Ch. 4.3 - An insurance company sells both homeowners...Ch. 4.3 - Using the joint pmf from Exercise 4.2-3, find the...Ch. 4.3 - A fair six-sided die is rolled 30 independent...Ch. 4.3 - Let X and Y have a uniform distribution on the set...Ch. 4.3 - Let fX(x)=110,x=0,1,2,...,9, and...Ch. 4.3 - Suppose that X has a geometric distribution with...Ch. 4.4 - Prob. 1ECh. 4.4 - Prob. 2ECh. 4.4 - Prob. 3ECh. 4.4 - Prob. 4ECh. 4.4 - For each of the following functions, determine the...Ch. 4.4 - Using Example 4.4-2, (a) Determine the variances...Ch. 4.4 - Let f(x,y)=43,0x1,x3y1, zero elsewhere. (a) Sketch...Ch. 4.4 - Using the background of Example 4.44, calculate...Ch. 4.4 - Two construction companies make bids of X and Y...Ch. 4.4 - Let T1 and T2 be random times for a company to...Ch. 4.4 - Let X and Y have the joint pdf f(x,y)=cx(1y),0y1,...Ch. 4.4 - Show that in the bivariate situation, E is a...Ch. 4.4 - Let x and y be random variables of the continuous...Ch. 4.4 - Let X and Y be random variables of the continuo us...Ch. 4.4 - Prob. 15ECh. 4.4 - Prob. 16ECh. 4.4 - Prob. 17ECh. 4.4 - Let f(x,y)=18,0y4,yxy+2, be the joint pdf of X and...Ch. 4.4 - Prob. 19ECh. 4.4 - Prob. 20ECh. 4.4 - Let X have the uniform distribution U(0,1), and...Ch. 4.5 - Let X and Y have a bivariate normal distribution...Ch. 4.5 - Show that the expression in the exponent of...Ch. 4.5 - Let X and Y have a bivariate normal distribution...Ch. 4.5 - Let X and Y have a bivariate normal...Ch. 4.5 - Let X denote the height in centimeters and Y the...Ch. 4.5 - For a freshman taking introductory statistics and...Ch. 4.5 - For a pair of gallinules, let X equal the weight...Ch. 4.5 - Let X and Y have a bivariate normal distribution...Ch. 4.5 - Let X and Y have a bivariate normal distribution....Ch. 4.5 - In a college health fitness program, let X denote...Ch. 4.5 - For a female freshman in a health fitness program,...Ch. 4.5 - Prob. 12ECh. 4.5 - An obstetrician does ultrasound examinations on...
Knowledge Booster
Similar questions
- Let X be a Gaussian random variable with zero mean and variance equal to 2. 1-Find the probability density function of the random variableY = 4X + 4 2-Find the probability P(Y>4).arrow_forwardC1. Let X be a continuous random variable with PDF f(x) = (2-x) ² for -1 1)? (c) Calculate the expectation of X. (d) Calculate the variance of X.arrow_forwardLet Xand Y be two continuous random variables with joint probability density [3x function given by: f(x.y)%D 0sysxsl elsewhere with E(X) = ECX)- EC) - EC*)= ;and E(XY) = 10 3 E(Y*) = - and E(XY) =; %3D Then the value of the variance of 2X+Y is: O 3/80 O 91/320 43/320 7/20arrow_forward
- Let X1, X2, and X3 be independent random variables from (-1, 1). Find the probability density function and the expected value of the random variable [X(1) + X(2)]/2.arrow_forwardSuppose X is a random variable taking values in the interval [0,2] with probability density function f(x) = 1-x/2. What is the variance of X?arrow_forwardSuppose that Y is a uniform continuous random variable on the interval (1,11). Calculate the expected value of the random variable (Y− 1)². Use one decimal place accuracy.arrow_forward
- The pH water samples from a specific lake is a random variable X with probability density function. f(x) = {8 (7– x)², 5 < x<7 0, elsewhere a. ) Find E(X) ( expected value or mean) b. ) Find V(X) ( Variance)arrow_forwardO Let X be the random variable with probability law: P (X=r) = q' P; r=1, 2, 3,... Determine the moment generating function and hence mean and the variance. Assume P + q=1.arrow_forwardThe lifetime X in hours of an electronic tube is a random variable having a probability density function given by f(r) = re, I (a) Compute the expected lifetime of such a tube. (b) Compute the variance of the lifetime of such a tube. (c) Find the median lifetime m of such a tube that satisfies P(X > m) = 0.5.arrow_forward
- The discrete random variables X and Y have the following joint probability function Y 0 1 2 1 1/20 2/20 3/20 X 2 2/20 1/20 4/20 3 3/20 1/20 3/20arrow_forwardLet x be a continuous random variable with PDF 2x 0 < x < 1 fx(æ) = { otherwise Find the expected value of x.arrow_forwardSuppose that X and Y have a joint probability density function given byarrow_forward
arrow_back_ios
SEE MORE QUESTIONS
arrow_forward_ios
Recommended textbooks for you
- Algebra & Trigonometry with Analytic GeometryAlgebraISBN:9781133382119Author:SwokowskiPublisher:Cengage
Algebra & Trigonometry with Analytic Geometry
Algebra
ISBN:9781133382119
Author:Swokowski
Publisher:Cengage