Question 2. Use composition approach to simulate the following distribution P = 0.3p1 + 0.7p2, where p1 follows a geometric distribution with mean 2 and p2 follows a Bernoulli distribution with mean 0.1. Write Python code with n = 10^6. Use the random seed 0. Compute the simulated mean. # use Spyder

Use python: Use the convenience function from the screenshot to create a plot for clip_threshold = 2. This should require only one line of code

Please solve this in python. DO NOT use spicy library.  Expected outcome is: 1.2446380979332121 1.251316587879806

What is the value of sum?int w = 5;int sum = 0;for (int r = 1; r <= w; r++)for (int s = r; s <= w; s++)sum = sum + s;

Optimization: make the input as big or as small as possible in Python using Newton and Bisection methods. The second picture below is another example from other problems we did. Please show your codes.

Find the maximum value and minimum value in milesTracker. Assign the maximum value to maxMiles, and the minimum value to minMiles. Sample output for the given program: Min miles: -10 Max miles: 40 import java.util.Scanner; public class ArraysKeyValue {public static void main (String [] args) {Scanner scnr = new Scanner(System.in);final int NUM_ROWS = 2;final int NUM_COLS = 2;int [][] milesTracker = new int[NUM_ROWS][NUM_COLS];int i;int j;int maxMiles; // Assign with first element in milesTracker before loopint minMiles; // Assign with first element in milesTracker before loop for (i = 0; i < milesTracker.length; i++){   for (j = 0; j < milesTracker[i].length; j++){milesTracker[i][j] = scnr.nextInt();}} /* Your solution goes here */ System.out.println("Min miles: " + minMiles);System.out.println("Max miles: " + maxMiles);}}

Solved in python

B. Use Python to compute the determinant of A and solve for the unknowns x, y, z, and w. Save your Python code in file Homework6_code.py. Hint: A is the coefficient matrix (4 rows by 4 columns), X is the column vector of unknowns (4 rows by 1 column), and B is the constant vector (free terms, 4 rows by 1 column). 3.5x - 2y + 4z - W= 12 6y + 8w + 15 = 2.4z 5w = 7+ 2x 3x + z = 4.7y + 5

In Python, Compute the: sum of squares total (SST), sum of squares regression (SSR), sum of squares error(SSE), and the r, R^2 values. You can use the sum() and mean() built-in functions. Here are the x and y values to use. x = [-5,-1,3,7,5,10] y = [-10,-3,5,8,7,10]

All information for this problem is given right here. Google “magic square" and you'll see a magic square is a square (i.e., n x n) matrix of positive integers such that the sum of each row = sum of each column = sum of the top-right to bottom-left diagonal = sum of the bottom-left to top-right diagonal. I want you to start by placing this code in your main.cpp file: // Programmer: .. // Description: Determine if a square matrix is a magic square or not. const int NUM_ROWS_COLS = 3; // Number of rows/columns in the square matrix. // Prototype for function that accepts a two-dimensional matrix of integer // values and returns "true" if the values form a magic square and "false" if not. bool IsMagicsquare (int matrix[NUM_ROWS_COLS][NUM_ROWS_COLS]); #include using namespace std; int main() { int matrix[NUM_ROWS_COLS][NUM_ROWS_COLS] = { 8, 1, 6 }, { 3, 5, 7 }, { 4, 9, 2 } }; if ( IsMagicSquare(matrix) ) { cout « "Matrix is a magic square!" « endl; else cout « "Matrix is NOT a magic…