If X has a beta distribution with parameters a and B, show that aß V (X) = (a + B)2 (@ + B + 1)

Q: X and Y is a gamma Random Variable with ld=2 and a l if x and r are independent exponential Random…

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Q: Let X1,.X, be a random sample from a uniform (0,0) distribution and let Y = max(X1,..., the coverage…

A: We have a sample X1, X2,....,Xn from uniform distribution.  We know that, Y = max(X1, X2,....,Xn) =…

Q: 2. Suppose that the random variable X possess a uniform distribution on the interval (0, 1). Let…

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Q: X is known to follow the Beta distribution with the parameter 0 = 1000, a = 2, b = 1. wwwww Define…

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Q: If xy Xy .... Xy is a random sample from the distribution. f (x, 0) er (1- 0)-x, x = 0, 1 and 0< 0<1…

A: Answer: For the given data,

Q: 5 Let X1 and X2 be independent and identically distributed random variables that follow an…

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Q: Let X be a continuous random variable with PDF 2x 0 < x < 1 fx(x) = {0 otherwise Find the expected…

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Q: Assume that Y denotes the number of bacteria per cubic centimeter in a particular liquid and that Y…

A: 3.3 From the given information, Y denotes the number of bacteria per cubic centimeter in a…

Q: Let Y1 &lt; Y2 &lt; · · · &lt; Yn be the order statistics of a random sample of size nfrom a…

A: The pdf of kth order statistic is as follows: fyk=k×nCkf(y)Fyk-11-Fyn-k

Q: Suppose that X and Y are continuous random variables with joint pdf f (x, y) = e-**) 0<x<∞ and 0 < y…

A: Introduction: The joint density function of two random variables X and Y is given below:

Q: Suppose that the continuous two-dimensional random variable (X, Y ) is uniformly distributed over…

A: Given, The data set is: X Y 1 0 0 1 -1 0 0 -1     To find, The correlation coefficient…

Q: A continuous random variable is said to have a Rayleigh distribution with parameter o if its PDF is…

A: Rayleigh distribution: A continuous random variable X is said to follow a Rayleigh distribution with…

Q: Let X, denote the mean of a random sample of size n from a Gamma(, 1) distribution. Show that Vn (X,…

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Q: with

A: Given: Computing CDF F(x) for X

Q: Let X1,..., X,|A be iid Poisson(A), and let A ~ Gamma(a, B), with a, B are known. Give two reasons…

A: Given information: The probability density function of the random variable X is as given below:

Q: Let X be a uniform random variable over the interval 1 to 4 and Y is exponential with a mean of 2.…

A: Given information: X~Uni(a=1,b=4) Standard deviation of X is: σX=b-a12       =4-112       =0.8660…

Q: 3. Let X and Y be continuous random variables with joint PDF (3x 0s ysxs1 f(x, y) = {* otherwise…

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Q: If X1, X2, ..., Xn are independent random variables having exponential distributions with the same…

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Q: Two independent random variables X and Y have marginal distribution functions (0, ifx<1 F,(x) = {,…

A: Given : Marginal distribution function of X is, Fx(X) = 0,if x&lt;112,if 1≤x&lt;21,if x ≥2 and…

Q: Suppose Y is a Poisson random variable with rate A. Let X be a random variadie be such that given Y,…

A: It is given that the Y~ Poisson(λ) and X|Y=y ~ Gamma(1,Y) We have to find that the E(X) and Var(X)

Q: The density function of a random variable is given as fx(x) = ae-bx x20. Find the characteristic…

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Q: Two real-valued RVs, X and Y, have joint PDF 1 p(x, x2) = exp 2TV1-r (x; – 2rx,x2 2(1 - r) where -1…

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Q: Suppose that X and Y are independent exponential random variables with parameter lambda = 1. Let Z =…

A: Exponential distribution: A random variable X is said to have a exponential distribution with a…

Q: Let X,, X2,.. ,X, be a random sample from a distribution with density function if x 20 -e f(x; 0)…

A: The answer is given using the concept of maximum likelihood. please find step by step solution…

Q: 3) Let X₁, X₂, X, be mutually independent and identically distributed exponential random variables…

A: Given that  Xi ~ E( β = 1 ) i = 1,2,3,_____,n  X1,X2,____,Xn are independent and identically…

Q: Let X, Y be independent random variables with exponential distribution of parameter θ > 0. Are the…

A: Solution

Q: Let X be a uniform random variable over the interval 1 to 4 and Y is exponential with a mean of 2.…

A: Correlation Coefficient between two Random Variables: If X and Y be two random variables, then the…

Q: Given that a random variable X have a Poisson distribution with 2; Find E[cos(nX)] if E(X) = In 2

A: Given information: X = a Poisson random variable The expected value of X is: EX=ln 2=λ It is…

Q: Let X and Y be two discrete random variables with joint probability mass function Pxy (x, y). Show…

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Q: The discrete random variable X has probability mass function kx x = 2,3 2kx P(X = x) = x-1' x = 4,5…

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Q: 4. Suppose that the random variable X has density function 0, fx(x) = x < 0 0 < x. 4e-4", and…

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Q: If X is an exponential random variables with rate 1, then its distribution function is given by…

A: Here it is given that , F(x) = 1 − e−x Let us consider , F(x) = u. Now the distribution function…

Q: Let X1,, X, be a random sample from a population with pdf (0 + 1)r", if 0 <r<1 fe(x) = 0, %3D…

A: Given information: Let X1, X2, …, Xn is a random sample of size n taken from a probability…

Q: Find E[XY) if fxx) = 2/3 and the joint PDF of the random variables X and Y is zero outside and…

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Q: Suppose X is a random variable with following pdf: f(x)= pe-x+2(1-p)e-2x;  x>0          0,…

A: The probability distribution function is : f(x)=pe-x+2(1-p)e-2x,x&gt;0 The cumulative distribution…

Q: Suppose Y, and Y, are random variables with joint pdf (6(1– y2), 0 < y1 < y2 0, otherwise Let U1 and…

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Q: Suppose X₁,..., Xn are independent exp(X) random variables, where X is the rate parameter. Find…

A: Dear student,  According to Bartleby guidelines we can answer only one question at once. If you need…

Q: If X₁, X₂, ..., X is a random sample from the population with E distribution (4,0) with density…

A: 3. From the given information, the density function is, fx|θ=16θ4x3e-xθ, x&gt;0 Consider, the…

Q: Let X1 and X2 be IID exponential with parameter  &gt; 0. Determine the distribution ofY = X1=(X1 +…

A: Consider the random variables, (X1+X2)~Exp(λ) The CDF of Y=X1+X2 is,

Q: Show that any random variable, X, is uncorrelated with a constant show Cov(X, a) = 0. а.

A: Solution: The given random variable is X and constant is a.

Q: 9. A number of persons are measured for their heights x, weights y and chest expansion z and product…

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Q: 3. Let X1, · ,Xn be iid with exponential distribution with mean 0. Show that (X1+X2)/E÷ Xi and E- X;…

A: Given that X1, . . ., Xn be iid with exponential distribution with mean θ.

Q: Find E[XY] if fxx) = 2/3 and the joint PDF of the random variables X and Y is zero outside and…

A: Given problem is :

Q: Let X1, X2, ..., Xn be a random sample from an exponential population, find the moment estimator for…

A: The mean is calculated as follows: EX= ∫0∞xθe-θxdx      =θ∫0∞xe-θxdx      =θΓ2θ2     =1θ

Q: 2. Show that in a Lorentzian distribution the half width is r.

A: Introduction -   The Lorentizan function is the singly peaked function given by L(x)…

Q: Let X and Y be independent exponential random variables with parameters 5 and 10, respectively. Let…

A: Given that - Let X and Y be independent exponential random variables with parameters 5 and 10,…

Q: Let X and Y be two continuous random variables with joint PDF of ху + ) 0<x< 1,0 < y < 2. f(x, y) =…

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Q: The Gamma pdf for continuous random variable Y takes the form 1 -ya-le-y/ß B«T(a)' y > 0 fV) = for…

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Q: 2. It can be shown that if the random variable Trepresents the time to the rth event in a Poisson…

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Q: If the number X of particles emitted during a 1-h period from a radioactive source has a Poisson…

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Correlation

Correlation defines a relationship between two independent variables. It tells the degree to which variables move in relation to each other. When two sets of data are related to each other, there is a correlation between them.

Linear Correlation

A correlation is used to determine the relationships between numerical and categorical variables. In other words, it is an indicator of how things are connected to one another. The correlation analysis is the study of how variables are related. 

Regression Analysis

Regression analysis is a statistical method in which it estimates the relationship between a dependent variable and one or more independent variable. In simple terms dependent variable is called as outcome variable and independent variable is called as predictors. Regression analysis is one of the methods to find the trends in data. The independent variable used in Regression analysis is named Predictor variable. It offers data of an associated dependent variable regarding a particular outcome.