A) Compute and write the numerical value of the eigenvalue 4 of Σ. This eigenvalue is located in the position (4, 4) of the matrix ▲ and is simultaneously the sample variance of the score PC4: B) Compute and write the percentage of total variability explained by the Principal component PC4. The number you write should be between 0 and 100 and you should include decimals in your answer.
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- 1. Suppose that a set of samples x1, x2, ..., xn, all real numbers, are drawn i.i.d. from the same distribution. Also assume that this distribution is a Gaussian distribution, which can be represented as N(u, o²). Write a function that accepts a set of samples and returns the MLE estimator for u. NOTE: The code below will be evaluated by a Python 2.7 interpreter. def mle(samples): pass Run Reset Once your function is correct, your will receive a submission code that you should input into the answer field. Enter answer here 2. In the previous question, you were asked to write a function for an estimator of a parameter of a distribution. Is the result of this function, an estimator, a random variable? Yes NoWhat does it mean to measure centrality and the spread of a variable with at least two measures each? Using RUsing Floyd-Warshall's Algorithm construct the distance matrices D(0), D(1), D(2), D(3), and D(4) and the predecessor matrices Π(0), Π(1), Π(2), Π(3), and Π(4). Please show and explain each step clearly as I get lost after the first distance matrix.
- Use matlab to solve the questionsI need help with my MATLAB code. I am using ode45 to solve my differential equation. But, the size of w_ode is 9x645. Size of t is also 1x645. How is that possible? Shouldn't t be 1x101 and w_ode be 9x101? How do I get the size to be 9x101? I need that size because I am subtract that matrix by another matrix of the same size. I_T = 2;J = 1.5;I = [I_T; I_T; J];w = [-0.1; 0.3; -1.1];L = [0;0;0]; t = 0:100; % Using ode45 to integrate w dotoptions = odeset('RelTol',1e-10,'AbsTol',1e-10);result = ode45(@dwdt_Bframe, t, [w; I; L], options); % Extracting information from ode solvert = result.xw_ode = result.y function dwdt = dwdt_Bframe(t, wIL) w = wIL(1:3); I = wIL(4:6); L = wIL(7:9); % The w dot equations dwdt = zeros(9,1); dwdt(1) = (-(I(3) - I(2))*w(2)*w(3) + L(1)) / I(1); dwdt(2) = (-(I(1) - I(3))*w(3)*w(1) + L(2)) / I(2); dwdt(3) = (-(I(2) - I(1))*w(1)*w(2) + L(3)) / I(3); % Keep the values of I and L constant dwdt(4:6) = 0; dwdt(7:9) = 0; endAlice has asked you to help her classify these functions based on their asymptotic growth rate. That is, she wants you to prove a tight big-Theta bound for each function by following these steps. i. Use algebra to simply the function for ease of analysis. Remember the goal of simplification is to isolate terms and identify the dominant term. For instance, we might want to expand (n + 1)² to n² +2n+1 to see that n² is the dominant term. ii. Use your intuition, the limit test, or algebra to come up with a good guess of a tight bound. For instance, after isolating n² as the dominant term we might guess our polynomial is in (n²). iii. Use the limit test or the definitions to prove that your guess is correct. Both methods can provide correct proofs, and its a good idea to practice both methods. Sometimes our guess is incorrect and we need to return to the previous step. Transcribed Image Text: Alice has asked you to help her classify these functions based on their asymptotic growth rate.…
- Answer the question using Python programming language and Numpy:The following is a Matlab code. I am getting too big of an error. The max error should be less than 1*10^-3. I think its because of the backslash operator I used here, X = A \ b. I can't do X = A * inv(b) because b is not a square matrix. How should I reduce the error? % Problem 1% Step 1: Compute the right-hand side vector bn = 20;Xo = ones(n, 1); % Column vector with ones in each componentA = zeros(n); % Initialize the matrix A for i = 1:n for j = 1:n A(i, j) = 1 / (i + j - 1); endend b = A * Xo; % Step 2: Solve the system AX = b numericallyX = A \ b; % Backslash operator for numerical solution % Step 3: Compute the error vector E and find the maximum componentE = X - Xo;E_inf = max(abs(E));The solution needed to be printed, not handwritten