A Moving to another question will save this response.Question 21The probability density function of random variable X is given by1202-) ocr Find the cumulative distnbution function of the random vanable XF(x)=160010821F(X)50016r-3r4F(x)256F(x)-4x-Ar o

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Answered: Question 21 The probability density…

MATLAB: An Introduction with Applications

6th Edition

ISBN:9781119256830

Author:Amos Gilat

Publisher:Amos Gilat

Chapter1: Starting With Matlab

Section: Chapter Questions

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22. The life X in months of a certain light bulb is a random variable with exponential density. What is the probability that the light bulb will have a life span between 25 and 30 months if its average life is 20 months?
Question * If the probability density function of random variable X is given by: ( kx? + x, f (x) = to, x € [0,1]; otherwise. The value of k is equal to: 3/2 None of these
Areas under normal distribution curves can be used calculate probabilities of many random variables in the natural and social sciences. The graph of the Standard Normal Curve, with a mean of 0 and a standard deviation of 1 is given below, and its function is given by 1 f(x) = √2T e 1 The integral of e dx would be used to calculate the probability of an event that occurs √2T -1.5 between -1.5 to 1.5 standard deviations from the mean. (-1.5, 0.13) 1 Unfortunately, √2π -1.5 methods to approximate the values. 1.5 -1.5 1.5 (-1, 0.24) Using Simpson's Rule, (-0.5, 0.35) e dx has no proper closed form antiderivative, so we must use numerical 1.5 -1.5 1-0.5 -0-2 Using the Midpoint Rule with three rectangles of equal width, dx 0 Using the Trapezoidal Rule with six trapezoids of equal width, (0, 0.4) 0.5 Round answers to 4 decimal places when appropriate. (0.5, 0.35) (1, 0.24) 1.5 Ibe 1.5 1.5 [ 13 e-t de = \ е 1.5 e-2 е dx (1.5, 0.13)
QUESTION 2 Given the probability density function f(x)=(0.02^9 x^8*e^(-0.02x))/8! for x>0 and f(x)=0 otherwise. Determine the mean and variance of the distribution. Round the answers to the nearest integer. a) the mean b) The variance
If a discrete random variable X has the following probability distribution: X -2, - 1, 0, 1, 2 P(X) 0.2, 0.3, 0.15, 0.2, 0.15 Use this to find the following: (a) The mean of X and E[X^2]. (b) The probability distribution for Y = 2X^2 + 2 (i.e, all values of Y and P(Y )). (c) Using part (b) (i.e, the probability distribution forY ), find E[Y ]. (d) Using part (a), verify your answer in part (c) for E[Y ]. **Note: Please do not just copy from Chegg!
Suppose the lifespan (in months) of a smartphone battery can be modeled as a continuous random variable with CDF F(x) = 1 − e-x/3 x ≥ 0 What is the probability that the battery lasts between 12 to 15 months?
Question * Given X be the life time of a bulb having a probability density function f(x) =-e for x>0 and 0 elsewhere. The mean life time of the bulbs is equal to: %3D O 1/2 O None of these O 1/4 Question* Let X and Y be two independent continuous random variables with marginal distribution
Question * Let X and Y be two continuous random variables with joint probability density (3x function given by: f(x.y)%= 0sysrsl elsewhere 3. E(X')= 3. 3. with E(X) E(Y) = 2, E(Y') = and E(XY)= 10 Then the value of the varianee of X+Y IS. 91/320 3/80 43/320 7/20
Question 7 According to the data, the weight of a randomly selected checked-in luggage has a normal distribution with a mean of 51 lbs and a standard deviation of 9 lbs. Let X be the weight of a randomly selected checked-in luggage and let S be the total weight of a random sample of size 33. 1. Describe the probability distribution of X and state its parameters and o: X~ Select an answer (μ = Select an answer unknown X² B N T 2. Use the Central Limit Theorem and find the probability that the weight of a randomly selected checked-in luggage is less than 61 lbs. (Round the answer to 4 decimal places) Check-In Select an answer Select an answer the original population is normally distributed the sample size is large (n>30) although the distribution of the original population is unknown the sample size is small (n<30) and the distribution of the original population is unknown the distribution of the original population is unknown S~ Select an answer (s= Select an answer σ= to describe the…
Question 7 b Question submitted. > Next question You can retry this question below Let X be a continuous random variable with a probability density function f. Let the x-value a be such that P(X ≤ a) = 0.5. Let the x-value c be such that f(c) > f(x) for all x. = 100 X- f(x) dx Mean = Median = a Mode = СУ ▼ bv > Submit Question Q Search 0 LEA [ W 8.
Just a quick question for a derived random variable, how do you know that f(m) = f(x) abs(dx/dm)? Is that a theorem?

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Question 21 The probability density function of random variable Xa given by 12(-) ocsel ochervise Find the cumulative distribution function of the random variable X F(x)= +4 0