Answered: close all; clc; N = 1000000; % Number…

Database System Concepts

7th Edition

ISBN:9780078022159

Author:Abraham Silberschatz Professor, Henry F. Korth, S. Sudarshan

Publisher:Abraham Silberschatz Professor, Henry F. Korth, S. Sudarshan

Chapter1: Introduction

Section: Chapter Questions

Problem 1PE

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[MATLAB] I would like to repeat the matlab code below as an exponential distribution. How should I do? plz answer ------------------------------- clear all; close all; clc; N = 1000000; % Number of samples NB = 50; % Number blocks S = 49; % Number of the sets %% PDF P = zeros(NB,1); % Initialization of the blocks for PDF x = rand(N,S); % Generate S sets of uniformly distributed samples in [0,1] x = sum(x,2); x_mean = mean(x); x_var = var(x); x_std = sqrt(x_var); x_min = floor(x_mean - 3 * x_std); % Set the minimum x_max = ceil(x_mean + 3 * x_std); % Set the maximum scaler = NB/6; % Heuristics for n=1:N ind = ceil(NB*x(n)/S); P(ind) = P(ind) + 1; end pdf_sampled = (NB/N)/S * P; x_axis = [1/(2*NB):S/NB:S*(1-1/(2*NB))]; figure(1) subplot(2,1,1); bar(x_axis, pdf_sampled, 'BarWidth', 1); axis_range = [x_min x_max 0.0 2.0]; axis(axis_range); hold on; grid on; title(sprintf('PDF from the sampled data with %d samples.', N)); %% CDF C = zeros(NB,1); % Initialization of the blocks for CDF for n=1:NB %ind = ceil(NB*x(n)/S); C(n) = sum(P(1:n,1)/NB); end cdf_sampled = (NB/N) * C; x_axis = [1/(2*NB):S/NB:S*(1-1/(2*NB))]; x_range = [x_min-2*x_std x_max+2*x_std]; axis_range = [x_range 0.0 1.5]; figure(1) subplot(2,1,2); bar(x_axis, cdf_sampled, 'BarWidth', 1); axis(axis_range); hold on; grid on; title(sprintf('CDF from the sampled data with %d samples.', N)); %% Built-in Function x = linspace(x_min, x_max, N); pdf_builtin = normpdf(x, x_mean, x_std); % Gaussian density pdf figure(1) subplot(2,1,1) plot(x, pdf_builtin,'LineWidth',2) cdf_builtin = normcdf(x, x_mean, x_std); % Gaussian density cdf figure(1) subplot(2,1,2) plot(x, cdf_builtin,'LineWidth',2)

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