The hypotenuse, Y^2 , of the isosceles right triangle is a random variable having a uniform pdf over the interval [6,10]. a)Calculate the expected value of the triangle area. b)Calculate the variance of the triangle area. c)Calculate the standard deviation of the triangle area.
The hypotenuse, Y^2 , of the isosceles right triangle is a random variable having a uniform...
3.11.13-Setup & Solve The legs of an isosceles right triangle increase in length at a rate of 6 m/s. a. At what rate is the area of the triangle changing when the legs are 5 m long? b. At what rate is the area of the triangle changing when the hypotenuse is 6 m long? c. At what rate is the length of the hypotenuse changing? a. Write an equation relating the area of an isosceles right triangle, A, and...
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5. (8 pts) An isosceles right triangle is as shown in the figure. The hypotenuse is increasing at a rate of 0.1 ft/s. When the area of the triangle is 8 square feet, at what rate is the leg increasing? Do not use any calculator. y x X
5. A continuous random variable X follows a uniform distribution over the interval [0, 8]. (a) Find P(X> 3). (b) Instead of following a uniform distribution, suppose that X assumes values in the interval [0, 8) according to the probability density function pictured to the right. What is h the value of h? Find P(x > 3). HINT: The area of a triangle is base x height. 2 0 0
as shown in Fig.2. The lengths of two 2. Three bars form an isosceles right triangle, right angle sides are L, which is 1000 mm. The cross section area of the three bars are 1000 mm2. Young's modulus of bars are E-21x10 N/ mnt Please find the global stiffness matrix of these bar element system. If the numbering of the bar nodes changes, does the global stiffness matrix change? (15 %) y 1 (3) (1) (2) 3 2 Fig.2 Bar...
Let Y be a continuous random variable having a gamma probability distribution with expected value 3/2 and variance 3/4. If you run an experiment that generates one-hundred values of Y , how many of these values would you expect to find in the interval [1, 5/2]?
2. Assume that the pdf of the random variable x is uniform in the interval (10, 12) and y = x^3. (a) Find fy (y). (b) Find E{y}.
1. The continuous random variable X, has a uniform distribution over the interval from 23 to 43. a) What in the probability density function in the interval between 23 to 43? 6. 7: Total : _ 16 14 /25 b) What is the probability that X is between 26 and 33? c) What is the mean of X? 2. Given that z is a standard normal random variable, a) what is the probability of z being greater than-1.53? b) if...
Problem 5. Let X be a continuous random variable with a 2-paameter exponential distribution with parameters α = 0.4 and xo = 0.45, ie, ;x 2 0.45 x 〈 0.45 f(x) = (2.5e-2.5 (-0.45) Variable Y is a function of X: a) Find the first order approximation for the expected value and variance of Y b) Find the probability density function (PDF) of Y. c) Find the expected value and variance of Y from its PDF
Problem 5. Let X...
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ünif uniform random variable 1) Draw the graphs of the p.d.f. of the following distributions (a) The standard normal p.d.f (b) The normal pdf with ? = 50, ? = 10 (c) The uniform p.d.f. over interval [10, 20] (d) The exponential P.d.f with parameter ? 4. 2) Illustrating the central limit theorem. Let X be a random variable having the uniform distribution over the interval [6, 12]...
4- Let Y = X, where X is a discrete uniform integer random variable in the range [-4,4). a) What is the PMF of the variable X? b) What is the PMF of the variable Y? c) Draw the PMF of the variables X, and Y. d) Draw the CDF of the variables X, and Y. e) What is the expected value of the random variables X and Y? f) What is the variance of the random variables X and...