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write a code in matlab to solve this question and take screenshot contains the code and result after running
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- The standard normal probability density function is a bell-shaped curve that can be represented as 1 f (z) = -?12 e Use Matlab to generate a plot of this function using function handle plot from z = -5 to 5. Label x-label as .frequency and y-axis as zUsing the Gaussian Probability Density function write a function that will calculate the probability that variable x will be in the range µ − ασ < x < µ + ασ, where α is some multiple of the variance.Simulate a probability curve fx (x)~N(µ,δ) in Matlab AND Calculate the cumulative probability fx(x) Note: you are free to choose the example or the data for your case study.
- 1. The impulse response of a causal system is: h(t) = A cos(wt) e¯¹/¹u(t) where u(t) is the Heaviside step function. The response is measured experimentally with a sampling interval of T. a. Write an expression for the sampled impulse response h[n]. b. Calculate the z transform of h[n] and write an expression for H[z]. Use the tables provided below as necessary. c. Does the system have an infinite impulse response (IIR) or finite impulse response (FIR)? Justify your answer. d. What is the DC gain of H[z]? e. Write a difference equation that describes the output y[n] in terms of input x[n].Can you prepare the project given below in matlab? (I would appreciate if you explain every step of the written code.) CE 412 - PROJECT 2 "Monte Carlo Simulation - Integration" Monte Carlo integration is a powerful method for computing the value of complex integrals using probabilistic techniques. In this project we are going to calculate the area under the Weibull distribution which is given by f(x) = x βα -x-1e-(x/B) for x ≥ 0. In this project, write a program by using both the hit-or-miss method and the sample-mean method to calculate the following integral by using n random points. [ fox b. f(x)dx = [ α e-(x/f) dx -xα-1e- βα Your program should ask the following parameters as the input: the method type, hit-or-miss method or sample mean method n, the number of random points a, the shape parameter of the distribution B, the scale parameter of the distribution a, the lower limit for the integral ⚫b, the uppper limit for the integral Project 2 Submission:…Write a function that takes in two variables, x, and y. The function should compute the correlation coefficient( Pearson's, Spearman, and Kendall). Perform a hypothesis test on the correlation coefficient using the function cor. test() Using Rstudio
- The chaper is Probability.– Backward Difference Approximation of the First Derivative You are required to write a Matlab script file that finds the backward differntial of f(x) = e(x) at x = 0.15 within an es= 0.1% . You need to find that delta x satisfies the error difference (start with a large delta x, compute the backward difference approximation, calculate ea and check against check for E(de;ta x) )Using R studio programming software, Write a function that takes in two variables, x, and y. The function should compute the correlation coefficient( Pearson's, Spearman, and Kendall). Perform a hypothesis test on the correlation coefficient using the function cor. test()
- Simulate for m=10,100,1000 samples and plot the conditional distribution as given by the analytical expressions of the conditional mean and covariance matrix in Python? ( don't hand writing solution)Simulate a probability curve fx(x)~N(µ,δ) in Matlab AND Calculate the cumulative probability fx (x)note: attach matlab code of the simulation, may be in textstep by step procedure to obtain test statistic and p-value without software