Assume b, c are independent random variables with uniform distribution on the interval [-L, L), where L e R'. Find the probability that the solutions of the quadratic equation x? + bx + c= 0 are real. What happens when L → +0?

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: Let X be a random variable with pdf f(x) = kx*,-1 <x< 1. Find E (X).

A:

Q: The joint pdf of a bivariate random variable (X,Y) is given by ke-(ax-by) x>0, y>0 fxy(x,y) = 0…

A:

Q: 4 Assume the PDFS of the two independent random variables X and Y are, |1, 0<x<1 e, 0<y fx (x) = and…

A: Given the pdfs of independent random variables X and Y as fXx=1  , 0≤x≤10  , else  and   fYy=e-y  ,…

Q: The random variables X and Y have joint pdf (x(1+3y²) fxy (x, y) = 0 < x < 2, 0< y < 1 4 0,…

A: Solution: The joint pdf of (X,Y) is given by  fXY(x,y)=x(1+3y2)4     0&lt;x&lt;2,  0&lt;y&lt; 10…

Q: Let Y be a random variable with moment generating function given by m (t) = (cl*#*)* (3X+4t²)' 3…

A: From the relation of Moment Generating function and Moment  we know E(Yr)=drM(t)dtr,at t=0 , for any…

Q: Let X1,. Xn be a random sample with paf is given by (x-a) e x > 0 f(x) = 0, otherwise. where 0 and a…

A:

Q: Suppose that a pdf for a continuous random variable Y takes the form 1 f() 1 exp 2 V2n (y – H)2 | +…

A: Solution

Q: Consider a random variable Y with PDF Pr(Y=k)=pq^(k-1),k=1,2,3,4,5....compute for E(2Y)

A:

Q: Consider a random variable X with E[X] = 10, and X being positive. Estimate E[ln square root(X)]…

A: The Jensen's inequality is defined as: If p(x) is a convex function then E[p(x)]≥p[E(x)]. Also, a…

Q: Prove that the mean and variance are obtainable from RX(t)= ln(MX(t)): MEAN=E(X)=Rx'(0),…

A:

Q: Suppose we have the quadratic function f(x)=A(x^2)+2X+C where the random variables A and C have…

A: Let the quadratic equation is f(x)=Ax2+2X+C. From the question, f(A)=A2     0≤A≤2 f(C)=3C2    0≤C≤1…

Q: Suppose two random variables X and Y are independently distributed as Unif(0, 1). Let D = Y – X, Z =…

A:

Q: If X be a continuous random variable with be -bx if x >0 f(x)= otherwise then the moment generating…

A: The random variables can be categorized into 2, continuous random variable and discrete random…

Q: A random process is defined as X (t) = cos 2 t, where 2 is a uniform random variable over (0, on)…

A:

Q: If a is uniformly distributed over [-18, 30], what is the probability that the roots of the equation…

A:

Q: The Gamma pdf for continuous random variable Y takes the form 1 va-le-y/ß -lB y > 0 f(y) = βαΓ (α) "…

A: Given that Y has Gamma distribution with α=3 and β=1.6. Consider,…

Q: Suppose two random variables X and Y are independently distributed as Unif(0, 1). Le = arctan(Y/X),…

A: Given: Here given that it is assumed that X and Y are spread evenly between 0 and 1.  let us take…

Q: Let X1...,Xn be independent random variables where each X; has a pdf f(r; 0) = 0x°-1 for 0 0 is an…

A: In such type of problems, we first attempt to find the asymptotic distribution of sample mean, X¯…

Q: The joint PDF of the random variables X and Y is defined as f(x, y) = 25e: 00 = 0, otherwise (i)…

A:

Q: Let X and Y be random variables such that var(X) = 16, var (Y) = 9, and p = cor(X, Y) = -0.5. a.…

A: Solution

Q: Let M, N be two independent random variables such that M~Unif(0,1) and N~ Expo() (a) Find the joint…

A: Part (a):Here, M ~ Unif (0, 1), N ~ Expo (1/2), which are independent. Thus, the joint pdf is:

Q: Q2) A continuous random variable has PDF Kx²+2x+1, -25xs 3. Find K, P(x)>0, X. X¹ and ².

A:

Q: A random process is defined as X (t) = cos 2 t, where S2 is a uniform random variable over (0, oo)…

A:

Q: Let X and Y be jointly Gaussian random variables with PDF exp { (12 + 4y² – 2x + 1) } fx,y(x, y) for…

A:

Q: Let (X, Y) be the coordinate of a point chosen uniformly at random on (0, 1]2. Find the probability…

A: We want to find  P(|Y-X|≤0.43)= ?  X and Y~U(0,1)

Q: If X1, X2,...,Xn constitute a random sample of size n from a population given by 2(0 - x) for 0<x <…

A:

Q: Let X and Y be two independent random variables with respective moment generating functions: тx () 1…

A: We have given that, X and Y are two independent random variables with respective moment generating…

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: Suppose the random variable X has pdf K exp 12V/28 XP ( - ("=2)²). fo 2√/2K 0. £x(u) = 0≤u≤ 4,…

A:

Q: Let X1, X2, ... , Xn be a random sample with pdf f(x) = (0+1)xº-1, 0sx<1,

A: Given information: f(x)=θ+1xθ-1, 0≤x≤1, 0&lt;θ&lt;∞ Consider, the likelihood function, Lx=∏i=1nfx…

Q: Suppose that the pdf for a random variable given by f(y,0) = ®y®-1, the method of moments estimate…

A: Given information: θ^=y¯1-y¯ Y1=0.42, Y2=0.1, Y3=0.65, Y4=0.23 Consider, Y¯=Y1+Y2+Y3+Y44…

Q: If X is a uniformly distributed random variable between -1 and 1 (pdf of x is constant=1/(2pi)…

A: From the given information, fx=12π, -π≤X≤π Given that Y=sin(X) Consider, the distribution function…

Q: Let X1,., X, be independent and identically distributed random variables with Var(X1) <o. Show that…

A:

Q: Let (y1, Y2, ..., Yn) be a random sample from the uniform distribution on the interval [A – a/5, 1 +…

A:

Q: If X1,..., Xn is a random sample from a distribution with pdf 303 x E R+, 0 E R+ f(x; 0) = { (z+0)4…

A:

Q: 2. Suppose X is a continuous random variable with pdf -즐z if 0 1.0).

A:

Q: X is nomally distributed with parameters u and o = 20 and that, for a 76. How large of a sample…

A: Given: α≤0.025β≤0.025σ=20μ0=76μ1=82

Q: 7. Suppose X is a continuous random variable with pdf ƒ and that Y = aX + b where a and b are…

A: Introduction: A continuous random variable is a type of random variable that assumes every value…

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: 19. If X1 and X, are Poisson vaiates with means m¡ and m2 prove that the probability that x1 – x2…

A:

Q: Consider a random sample X1,..., Xn with n > 3 from the exponential distribution with parameter > 0…

A: Given that X1,......,Xn are random samples with n&gt;3 from the exponential distribution. The…

Q: If the joint pdf of a two dimensional random variable (X,Y) is given by xy ху 0 <x<1&0< y < 2 + f…

A: Given information: Let X and Y be two random variables there joint pdf is given by; f(x,y)=x2+xy3…

Q: Suppose X is a random variable whose pdf is given by f(x) =k(4x-2x^2) 01)

A:

Q: Let X and Y be two independent random variables with PDFS fy (x) = 1536 with x>8 and fy(y)= 75y with…

A: The probability density function is, fxx=1536x4     for x&gt;8 fyy=225y     for 0&lt;y&lt;5

Q: Two random variable X and Y have the joint PDF given by: J;(x³y+ 1) ,0<x<2,0<ys1 fxy(x,y) = { 4…

A:

Q: Let random variables X₁ and X₂ be uncorrelated and each distributed according to fx(x) = { 0≤x≤T,…

A: Hello! As you have posted more than 3 sub parts, we are answering the first 3 sub-parts.  In case…

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

A:

Q: For the random variables X,Y Cov(X,Y) = -0.9 if Z=3-X then what is Cov(Z,Y)=???

A: Given - Cov ( X , Y ) = -0.9 Z = 3-X

Continuous Probability Distributions

Probability distributions are of two types, which are continuous probability distributions and discrete probability distributions. A continuous probability distribution contains an infinite number of values. For example, if time is infinite: you could count from 0 to a trillion seconds, billion seconds, so on indefinitely. A discrete probability distribution consists of only a countable set of possible values.

Normal Distribution

Suppose we had to design a bathroom weighing scale, how would we decide what should be the range of the weighing machine? Would we take the highest recorded human weight in history and use that as the upper limit for our weighing scale? This may not be a great idea as the sensitivity of the scale would get reduced if the range is too large. At the same time, if we keep the upper limit too low, it may not be usable for a large percentage of the population!