Assuming that v is a random variable uniformly distributed


Q1. Use N(0, 1), N(1, 4), N(5, 9) and N(-5, 16) to generate Chi-square distribution (degree of freedom: 4). Following is an example of Chi-square pdf with the sigma has different value of 2 and the mean values vary from 0 to 4.

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Q2. A stock broker makes a deal with a client that the client will pay the broker a 20% "reward" of any profit the broker makes for him, and will pay the broker nothing if the broker loses money for the client. The stock portfolio profit is a normal distribution with a mean of zero and a standard deviation of $2. Use the resulting histogram to calculate the expected value of the reward. (Note that has a Gaussian distribution with mean and standard deviation can be generated using the "randn" function in MATLAB as following: NOTE 2.A random variable x= randn*σ + μ)

Q3. The range, r, of a cannon projectile under the influence of gravity, g=9.81 m/s2, and fired with muzzle velocity v0 = 10 m/s is determined by the angle its barrel makes with the ground, 0. From your Physics classes you will recall that the range is calculated as: r(v)= 2(v0)2/gsin v cos(v). If a wind of velocity 2 m/s2/ blows against the project, what will be the r(v)? Assuming that v is a random variable uniformly distributed between 0 and π/2, generate the probability density of the range f(r), through stochastic modeling. Use the resulting histogram to calculate the mean range of the projectile.

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Physics: Assuming that v is a random variable uniformly distributed
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