You are given the probability distribution function (PDF) of a continuous random variable X is fX(x). Let Y be a continuous random variable such that Y = aX + b, where a and b are non-zero real constants. 1. Find the PDF of Y in terms of  fX , a, and b. 2. Let X be an exponential random variable with parameter λ. When will Y also be an exponential random variable? 3. Let X be a normal random variable with mean μ and variance σ2 . When will Y also be a normal random variable?

Q: Let X refer to the sum of two rolled die. Describe the probabilities of each outcome. If pX(x) is…

A: It is given that x denotes the sum of two rolled dies.

Q: Suppose that we have a discrete random variable Xa with PDF and CDF fa(x) and Fa(x), and a…

A: Explain the concept of mixed random variables. Let Y be a discrete random variable , Z be a…

Q: d. Let X and Y be independent normal random variables, each with mean u and standard deviation o. 1.…

A:

Q: Question B) If the joint pdf of the continuous random variables X and Y is: fxy(x, y) = XY for 0<x<2…

A:

Q: Let N be the last digit of your student number. Let X and Y be two continuous random variables that…

A: Given data, Let N be the last digit of your student number. Let X and Y be two continuous random…

Q: Let X and Y be discrete random variables with joint probability function: P( x, y ) = ( 2x + y )/12,…

A: Let X and Y be discrete random variables with joint probability function:P( x, y ) = ( 2x + y )/12,…

Q: A9. Let X and Y be independent standard normally distributed N(0, 1) random variables. What is…

A: Given that  X and Y are independent standard normal distribution N(0 , 1).

Q: Calculate the expected value E(X) for the given random variable X. Select 13 cards without…

A: From the provided information, Total cards in standard deck = 52 13 cards selected without…

Q: Suppose two independent discrete random variables X₁ and X2. Both follow a discrete distribution…

A: It is given that: PX1=1=PX2=1=p1=0.5PX1=2=PX2=2=p2=0.3PX1=3=PX2=3=p3=0.2 The variables X1 and X2 are…

Q: Consider the following probability distribution where random variable X denotes the number of cups…

A: Given data is  x 0 1 2 3 4 5 P(x) 0.35 0.40 0.16   0.02 0.02

Q: Let X and Y be independent, taking on {1,2,3,4,5} with equal probabilities.  E((X+Y)2)=?

A: We have given that X and Y be independent random variables.   The distribution of X is: P( X=x ) =…

Q: Suppose that when a transistor of a certain type is subjected to an accelerated life test, the…

A: Given: X = lifetime in weeks α=5β=8 X ~ Gamma (5, 8) Probability of of lifetime of 1 week to 40…

Q: d. Let X and Y be independent normal random variables, each with mean u and standard deviation o. 1.…

A:

Q: Let X and Y be independent discrete random variables and suppose that X+Y=2. Show that X and Y are…

A: The objective of the question is to prove that if X and Y are independent discrete random variables…

Q: Exercise 4. Let = {a,b,c,d} and define a probability measure on 222 by P(a) = P(c) = 1/6 and P(b) =…

A: a) To list all sets in σ(Y), we need to consider all possible events that can be formed from Y.…

Q: 2. Let X be a random variable with p.m.f., (1+x? 20X = -1,0,1,2,3 0 ,otherwise. f(x) = Find E(3X² +…

A: Given function isf(x)={1+x220,    x=-1,0,1,2,30         ,   otherwise

Q: Let X be a random variable with mean 4 and standard deviation o. What is E[X2]?

A:

Q: a) Write E((X − a)²) in terms of a, μ and oʻ. b) For which value a is E((X − a)²) minimal? c) For…

A:

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!