(3) Let X be a random variable with p.d.f -(3x+6) 15 0

Q: (52) Let X be a random variable with p.d.f. 1 5 0 <x<0 5 2 f(x) =- find E(e3 ) O.W

A: Given, X is a random variable with pdf- fx=15e-15x  ;0&lt;x&lt;∞0            ; otherwise

Q: Find (a) The constant K (b) P(X> 1) (c) P(|x|<3)

A: To determine the value of K we will use the fact that the integration of pdf f(x) over whole range…

Q: Prove let B= 6+ I %3D : m = ',2,3, 3m S. Then inf(8) =6

A:

Q: (45) Let X be a random variable with p.d.f. ((k + 4)(x+2) 0<x<2 f(x)=- find (1) k (2) E(x) O.W

A: (45) (1) The random variable X with p.d.f is, fx=k+4x+2      0&lt;x&lt;20…

Q: Suppose X is a random variable such that EX = 50 and V arX = 12. Find (a) E(X 2 ) (b) E(3X + 2) (c)…

A: The given X is a random variable with EX=50 and VarX=12.

Q: Suppose X is a discrete random variable with finite first and second moments. Show that E (x…

A: It is given that X is a discrete random variable with finite first and second moment.

Q: 5) Let N= [0, 1) and let F = o ([0, 1/3), [1/3, 2/3), [2/3, 1)) (a) Write down F. (b) Is X(w) = 2w…

A: Given, Ω=0,1→Sample spaceF=σ0,13,13,23,23,1→sigma field

Q: Let X be a random variable with p.d.f. [(k +4)x 1<x<5 f(x) = , find (1) k (2) Var(x) O.W

A: Let X be a random variable with p.d.f. fx=k+4x      1&lt;x&lt;50                  otherwise   1) We…

Q: If x is a random variable (3,x-bn), find the smallest value for n so that it achieves 0.8 <(1 2 p(x)…

A: If a random variable X follows binomial distribution. X~Bx, n, p=13 and PX≥1&gt;0.8 We need to find…

Q: Let X be a random variable with p.d.f. 4k 1< x<10 f (x) =< find k. O.W

A:

Q: Recall: X(n, p) is a binomial random variable means P(X = x) = p*(1 – p)"-* x(n-x) Let X(n, p)…

A: Hello! As you have posted 2 different questions, we are answering the first question. In case you…

Q: 14- If the p. d. f of a random variable X is f(x) = 1,0 ≤ x ≤ 2, then P(X> 1.5|X > 1) is (a) 0.5833…

A:

Q: (3) Let X be a random variable with p.df 12(3x+ 0<x<1 15 , then P(0<x< 0.5) is o.w 7 (d) 7 (a) 60…

A:

Q: Which of the following is equal to Cov (X+ Y, 2X +Y), where X and Y S ? are random variables on a…

A:

Q: 7. If X is a random variable with fx Let Y = 3√In X. (a) Fx(x) ) = 1, 1<x<e (b) Fy(y) (c) fy(y)

A:

Q: ) Let X be a random variable with p.d.f.

A: It is an important part of statistics. It is widely used.

Q: Suppose that E and F are two events such that Pr[E] = 17/29, Pr[F] = 13/29, and Pr[EN F] = 8/29.…

A: Given, P(E) = 1729P(F) = 1329P(E∩F)=829

Q: 4. Let X be a random variable taking positive values and assume that E(X) exists. Which of the…

A: Option (I) is correct as E(X2)&gt;= (E(X))2 when we find Variance.

Q: (40) Let X be a random variable with p.d.f. (k +4)e¯3x f(x) ={ 01) O.w

A: a)Use the condition of valid pdf to find the value of k…

Q: 1-4x 10) If a random variable assumes 4 values with probability 1+3x 1-x 1+2x and ¹-4 4 4 4 the…

A: Here for given probability check whether using value of x total probability is equal to 1 and all…

Q: (4) If a point x is taken at random on the interval [0, 2a] and all the points are equally likely to…

A: Given :x2a-x&gt;a22

Q: (4) If a point x is taken at random on the interval [0, 2a] and all the points are equally likely to…

A: the selection of a point in the closed interval [0,2a] is a uniform random variable X.

Q: (1) Let X be a random variable with a function x= 0,1, 2,3 4 xt(3-x)! S(x)=- , then E(x+1) is o.w…

A:

Q: (b) Let X~N(40,144) and if Y = 2X - 1 Find the following probabilities: (i) P(X 50) (iii)P(35 < X S…

A: Since you have posted a question with multiple sub-parts, we will solve first three subparts for…

Q: (33) Let X be a random variable with p.d.f. e2k x= 1,2,3 f(x)=- find (1) k (2) E(x+1) O.W

A: Given that X is a random variable with p.d.f f(x)=e2k ; x=1,2,30     ; Otherwise.

Q: (1) Let X be a random variable with a function [3 1 x= 0,1,2,3 4 x! (3-x)! fx) = { , then E(x) is…

A: Given, X is a random variable with the function below

Q: (1) Let X be a random variable with a function (3 1 4 xt (3-x)! *- 0,1, 2,3 , then E(x+1) is o.w (e)…

A:

Q: (3) Let X be a random variable with p.d.f I>x >0 then Ex) is (3x+6) 15 S(x)=- o.w 6. (d) (e) None of…

A: (3) The pdf is, fx=2153x+6        0&lt;x&lt;10                         o.w

Q: A random variable X may assume four values with probability 3r, L 12r Find condition on X so that…

A: Assume, X be the random variable and P(X=x) represents the probability of event which happens when…

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!