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A) Design and explain a computer-based simulation model which you will use to estimate the probability that among 25, 50, 75, 100, 500, or 1000 randomly chosen people, at least 2 people share the same birthday.1) Explain specifically how you will use the technology to make the computer-based simulation model.2) Run the simulation by using sufficient iterations for 25, 50, 75, 100, 500 and 1000 randomly selected people.Note: The iterations you use should permit you to collect the data essential to make reasonable estimates of the probability for each group size.B) Analyze (suggested length of 1?2 paragraphs) the computer-based simulation results.1) Use the attached ?Probability Table? to determine the probability that at least 2 people share the same birthday among 25, 50, 75, 100, 500 and 1,000 randomly selected people. (Comprise the probability table with your results.)2) Discuss factors which contribute to uncertainty in the probability results that were obtained.3) Draw conclusions comprising the uncertainty from the results of the simulation.
Compute the eigenvalues and eigenvectors of the matrix
Write project report and provide Cross-synthesis.
Digital Signal Processing
Write a script to solve the following systems of equations using both matrix left division (\) and the inverse matrix method and Show that you have tested your MATLAB code appropriately
What does the pole-zero diagram tells you about the filter
Calculate the distance between cities
Write the commands that will create the matrix.
determine the inputs, outputs, relevant formulas
Control Design using Matlab, Please try and explain the characteristic of all the plots and graphs. Import all the required data in word of simply write in the script itself.
In a shell-and-tube heat exchanger, one fluid passes through a central tube while another fluid flows through an outer shell in the opposite direction. The purpose is to heat the fluid passing through the central tube.
For homework consider the points (0,0), (1,2), (2,3), (3,9), ( 4,17), (5,24), (6,37). (1) Use Matlab to find the least squares best fit with a line. Turn in A, y and c and a plot like the one above. Also (2) use Matlab to find the least square best..
Compute the power spectral density vector. Plot the spectrogram using the same parameters as in lecture.
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