Solved Given The Following Probability Density Function Chegg Here’s the best way to solve it. 1. given the following probability density function: p (x) = ae 1 (x a). (a) find (x) (b) find (x) (c) find ox (d) sketch the graph of the probability density. 2. a particle of mass, m, has the wavefunction given by: * (x, t) = ce a [ (mx n) 1t). (a) sketch re [* (x,0)) as a function of x. To find the probability from the probability density function we have to follow some steps. step 1: first check the pdf is valid or not using the necessary conditions. step 2: if the pdf is valid, use the formula and write the required probability and limits. step 3: divide the integration according to the given pdf.

Solved Given The Following Probability Density Function Chegg The probability density function (" p.d.f. ") of a continuous random variable x with support s is an integrable function f (x) satisfying the following: f (x) is positive everywhere in the support s, that is, f (x)> 0, for all x in s. Examples: 1. given f (x) = 0.048x (5 x) a) verify that f is a probability density function. b) what is the probability that x is greater than 4. c) what is the probability that x is between 1 and 3 inclusive. 2. the average waiting time for a customer at a restaurant is 5 minutes. using an exponential density function. Sketch f ( x ) for all x . x > 4) . two such batteries are needed by a piece of electronic equipment. this equipment will only operate if both batteries are still functional. if two new batteries are fitted to this equipment, determine the probability that this equipment will stop working within the next 40 hours. Cov ( x, y ) = e ( x y ) – e ( x ) × e ( y ) = 1.2 – 1.2 × 0.70 = 0.36. let the joint probability density function for ( x , y ) be ( x, y ) =.

Solved Given The Following Probability Density Function Chegg Sketch f ( x ) for all x . x > 4) . two such batteries are needed by a piece of electronic equipment. this equipment will only operate if both batteries are still functional. if two new batteries are fitted to this equipment, determine the probability that this equipment will stop working within the next 40 hours. Cov ( x, y ) = e ( x y ) – e ( x ) × e ( y ) = 1.2 – 1.2 × 0.70 = 0.36. let the joint probability density function for ( x , y ) be ( x, y ) =. Let x be a continuous random variable, 1 < x < 1 (x) is the so called probability density function (pdf) if. Answer to given a probability density function f (x) = 1.2 expenhanced with ai, our expert help has broken down your problem into an easy to learn solution you can count on. Suppose that y has density function. if 0 y 1 ≤ ≤ elsewhere. find the value of k that makes f(y) a probability density function. = 1 (1 6) = 6 . b. find p (.4 ≤ y ≤ 1) . c. find p (.4 ≤ y < 1) . .42 2 .43 3) = 0.648 . the probability. hence this probability is also 0.648. d. find p (y ≤ .4|y ≤ .8) . 2. let x be a continuous random variable with probability density function ( f(x) = (x − 1)4 if 1 < x < wher c is a constant. find c, and e[x].

Solved Given The Following Probability Density Function Chegg Let x be a continuous random variable, 1 < x < 1 (x) is the so called probability density function (pdf) if. Answer to given a probability density function f (x) = 1.2 expenhanced with ai, our expert help has broken down your problem into an easy to learn solution you can count on. Suppose that y has density function. if 0 y 1 ≤ ≤ elsewhere. find the value of k that makes f(y) a probability density function. = 1 (1 6) = 6 . b. find p (.4 ≤ y ≤ 1) . c. find p (.4 ≤ y < 1) . .42 2 .43 3) = 0.648 . the probability. hence this probability is also 0.648. d. find p (y ≤ .4|y ≤ .8) . 2. let x be a continuous random variable with probability density function ( f(x) = (x − 1)4 if 1 < x < wher c is a constant. find c, and e[x].

Solved Question 1 Given The Following Probability Density Chegg Suppose that y has density function. if 0 y 1 ≤ ≤ elsewhere. find the value of k that makes f(y) a probability density function. = 1 (1 6) = 6 . b. find p (.4 ≤ y ≤ 1) . c. find p (.4 ≤ y < 1) . .42 2 .43 3) = 0.648 . the probability. hence this probability is also 0.648. d. find p (y ≤ .4|y ≤ .8) . 2. let x be a continuous random variable with probability density function ( f(x) = (x − 1)4 if 1 < x < wher c is a constant. find c, and e[x].