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- A simulation experiment consisting of 4 replications returned the 90% confidence interval (54,68) for the monthly return of a financial portfolio (in thousands of dollars). Specify an approximate distribution for the monthly return with appropriate parameters.Problem 1. You are playing a version of the roulette game, where the pockets are from 0 to 10and even numbers are red and odd numbers are black (0 is green). You spin 3 times and add up the values you see. What is the probability th at you get a total of 17 given on the first spin you spin a 2? What about a 3? Solve by simulation and analytically.Which qualities are preferred for an estimator? (Select all that apply.) Not centered around the unknown parameter Variability is small Centered around the unknown parameter Variability is large
- solve with matlab.suppose that two fair dice are tossed repeatedly and the sum of the two uppermost faces is determined on each toss. what is the probability that we obtain a sum of 3 before we obtain a sum of 7? Please just write matlab code that solves this problem using simulationIn R, you will use simulations to prove that the binomial distribution is correct. Recall that the binomial distribution has two parameters n and p. There are n trials and each has two possible outcomes, with probability p for “success” and 1-p for “failure”. The binomial gives the probability distribution for the number of successes in n trials. You will conduct simulations with r replicates, where each simulation replicates does n simulated “coin flips”. You will add up the number of successes in each coin flip, and compare the result to the true distribution: Generate n*r values from the uniform(0,1) distribution and arrange these in an rxn matrix. Each value less than p is considered a “success”. For each row from part I, count the number of successes. The number of possible successes ranges from 0 to n. Use the table function in R and the value_counts function in Python and to count up the number of replicates with each number of successes. Make a table that compares the…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 text
- 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.You are developing a simulation model of a service system and are trying to create an input model of the customer arrival Process, You have the following four observations of the process of interest [86, 24,9, 50] and you are considering either an exponential distribution Of a uniform distribution for the model. Using the data to estimate any necessary distribution Parameters, write the steps to plot Q-Q plots for both cases i.e. exponential and uniform.please try to simulate the probability of rolling a Die with Sample Space* S={1,2,3,4,5,6} and the probability of each sample point has a 1/6 chance of occurring, i.e., you need to verify that your simulation converges to 1/6 when you select one point of sample space. When X is a random variable for sample point of rolling a Die, Pr(X<=4)=2/3. Please verify this result by simulation. Please let me know how to make an Excel file as stated above.
- Considering the problem of performing rapid COVID test among a large group of people. Assuming there are exactly 1 positive case among N people, and you are asked to find the positive case with the least number tests. 1. A straight forward approach is to test every single person, which requires N tests in total. Can you design a testing framework that works better than the greedy one under, even under the worst-case scenario? Write the pseudo code for your approach and briefly explain the time complexity of your approach. 2. Based on your framework, if there are 1,000 people, what are the maximum number of tests that need to be performed in order to identify the positive case (number of tests required in the worst case)?Consider a blood test for some virus. 200 persoons received the test and here is the result: 120 persons who are healthy tested negative. 5 persons who are healthy tested positive. 25 persons who have the virus tested negative. 50 persons who have the virus tested positive. Answer the following questions. If it is applicable, please write a complete writing of hypothesis statement, Rcode, output and your findings. What is the false positive rate of this test? What is the false negative rate of this test?A model is used to obtain a prediction by accepting features as inputs and returning a prediction in the is.... subset of machine learning. The following are some new cutting-edge models that have become feasible: