A real number is to be selected at random from the interval [-5, 5]. There is...
A real number is to be selected at random from the interval [-5,
5]. There is a probability of 0.7 that the result will fall in the
range [-5, -1], and all numbers from that interval have the same
relative likelihood. Each number in the range (-1, 3) has twice the
relative likelihood as each number in the range [3, 5].
a. Plot the PDF and CDF of the random variable described by this
probability distribution.
b. Find the probability that the random variable takes on a value
between -0.5 and 0.5.
Homework Answers
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A real number is to be selected at random from the interval [-5,
5]. There is...
The rand() function generates a random real number between 0 and 1, but what if we...
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Please answer the question clearly . The number of minutes that a flight from Phoenix to...
Please answer the question clearly
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4. Suppose a random number generator generates 20 numbers per second, where each number is drawn uniformly from the interval 9,10), independently of all other numbers. We are interested in the event that one of the drawn numbers is very close to Usain Bolt's 100m sprint world record, that is, that this number belongs to the interval (9.575, 9.585). (a) Suppose that the random number generator runs for 10 seconds. Use the Poisson approximation to estimate the probability that it...
Problem 3: The length of time to failure (in hundreds of hours) for a transistor is a random variable X with the CDF given below: 2 F(x)lTe; x20 (a) Plot the CDF by hand. (b) Derive the pdf of this random variable. (c) Compute the P(Xs0.4) 0; x<0 (d) Compute the probability that a randomly selected transistor operates for at least 200 hours.
Problem 3: The length of time to failure (in hundreds of hours) for a transistor is a...
5000) of uniformly distributed random numbers between 1 Generate a large number (1000 or and 2 (HINT: use the rand command for generating a uniformly distributed random variable between 0 and 1 and then move it!). b Plot the pdf of the distribution. Use the hist command to obtain the number of samples in a random numbers, define binx as a vector with bins on the x-axis (binx = 1:0.01:2). P histx,binx) will provide you the weights pdf. Compare with...
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Please answer the question clearly
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