Mathematical Statistics and Data Analysis
3rd Edition
ISBN: 9781111793715
Author: John A. Rice
Publisher: Cengage Learning
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Chapter 3.8, Problem 67P
To determine
Find the density
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Chapter 3 Solutions
Mathematical Statistics and Data Analysis
Ch. 3.8 - Prob. 1PCh. 3.8 - Prob. 2PCh. 3.8 - Prob. 3PCh. 3.8 - Prob. 4PCh. 3.8 - Prob. 5PCh. 3.8 - Prob. 6PCh. 3.8 - Prob. 7PCh. 3.8 - Prob. 8PCh. 3.8 - Prob. 9PCh. 3.8 - Prob. 10P
Ch. 3.8 - Prob. 11PCh. 3.8 - Prob. 12PCh. 3.8 - Prob. 13PCh. 3.8 - Prob. 14PCh. 3.8 - Prob. 15PCh. 3.8 - Prob. 16PCh. 3.8 - Prob. 17PCh. 3.8 - Prob. 18PCh. 3.8 - Prob. 19PCh. 3.8 - Prob. 20PCh. 3.8 - Prob. 22PCh. 3.8 - Prob. 23PCh. 3.8 - Prob. 24PCh. 3.8 - Prob. 25PCh. 3.8 - Prob. 27PCh. 3.8 - Prob. 28PCh. 3.8 - Prob. 29PCh. 3.8 - Prob. 30PCh. 3.8 - Prob. 31PCh. 3.8 - Prob. 32PCh. 3.8 - Prob. 33PCh. 3.8 - Prob. 34PCh. 3.8 - Prob. 35PCh. 3.8 - Prob. 38PCh. 3.8 - Prob. 39PCh. 3.8 - Prob. 44PCh. 3.8 - Prob. 45PCh. 3.8 - Prob. 46PCh. 3.8 - Prob. 47PCh. 3.8 - Prob. 48PCh. 3.8 - Prob. 50PCh. 3.8 - Prob. 51PCh. 3.8 - Prob. 52PCh. 3.8 - Prob. 53PCh. 3.8 - Prob. 54PCh. 3.8 - Prob. 55PCh. 3.8 - Prob. 56PCh. 3.8 - Prob. 57PCh. 3.8 - Prob. 58PCh. 3.8 - Prob. 60PCh. 3.8 - Prob. 61PCh. 3.8 - Prob. 62PCh. 3.8 - Prob. 63PCh. 3.8 - Prob. 64PCh. 3.8 - Prob. 65PCh. 3.8 - Prob. 66PCh. 3.8 - Prob. 67PCh. 3.8 - Prob. 68PCh. 3.8 - Prob. 69PCh. 3.8 - Prob. 70PCh. 3.8 - Prob. 71PCh. 3.8 - Prob. 72PCh. 3.8 - Prob. 73PCh. 3.8 - Prob. 74PCh. 3.8 - Prob. 75PCh. 3.8 - Prob. 76PCh. 3.8 - Prob. 77PCh. 3.8 - Prob. 78PCh. 3.8 - Prob. 79PCh. 3.8 - Prob. 80PCh. 3.8 - Prob. 81P
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Need a deep-dive on the concept behind this application? Look no further. Learn more about this topic, statistics and related others by exploring similar questions and additional content below.Similar questions
If two random variables X1 and X2 have the joint density function given by f (x1, x2) = x1x2, 0 < x1 < 1, 0 < x2 < 2 0, otherwise Find the probability that (a) Both random variables will take on values less than 1 (b) The sum of the values taken on by the two random variables will be less than 1.
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If X and Y are independent exponential random variables, each having parameter λ.(a) Find the joint density function of U = X + Y by using the convolution of fX and fY .(b) Find the joint density function of V = X − Y by using the method of transformation.(c) Are U and V independent?
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Suppose that a study of a certain computer system reveals that the response time, in seconds, has an exponential distribution with density curve f(x) = (1/3)e(-x/3) for x > 0 and f(x) = 0 otherwise.
What is the probability that response time exceeds 5 seconds?
What is the probability that response time exceeds 10 seconds?
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The PDF of a continuous random variable X is as follows:
f(X)= c(4x2 - 2x2) 0<* x <* 2 (*less or equal to)
a. For this to be a proper density function, what must be the value of c ?
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Suppose a continuous random variable X~Fx(x):
f(x,y) = {1/4e^-1x/4, if x≥0 0, x<0}
What is the cumulative density function of Y=min{2,X}?
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The current in a certain circuit as measured by an ammeter is a continuous random variable X with the following density function.
What is P(X ≤ 4)?
What is P(4.5 < X)?
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For a certain psychiatric clinic suppose that the random variable X represents the total time (in minutes) that a typical patient spends in this clinic during a typical visit (where this total time is the sum of the waiting time and the treatment time), and that the random variable Y represents the waiting time (in minutes) that a typical patient spends in the waiting room before starting treatment with a psychiatrist. Further, suppose that X and Y can be assumed to follow the bivariate density function
fXY(x,y)=λ2e−λx, 0<y<x, where λ > 0 is a known parameter value.
(a) Find the marginal density fX(x) for the total amount of time spent at the clinic.
(b) Find the conditional density for waiting time, given the total time.
(c) Find P (Y > 20 | X = x), the probability a patient waits more than 20 minutes if their total clinic visit is x minutes.
(Hint: you will need to consider two cases, if x < 20 and if x ≥ 20.)
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Suppose that the random variables X and Y have a joint density function given by:
f(x,y)={cxy for 0≤x≤2 and 0≤y≤x, 0 otherwise
Find the constant c,
P(Y≥1/2),
P(X < 2, Y >1/2),
P(X < 1),
Determine whether X and Y are independent.
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A continuous random variable X that can assume values only between X = 2 and 8 inclusive has a density function given by a(X+3), where a is a constant. Calculate a and Find, P(3
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