mu, sigma); % 绘制图形 figure; plot(x, y, 'LineWidth', 2); xlabel('x'); ylabel('Probability Density'); title(['Normal Distribution (\mu = ', num2str(mu), ', \sigma = ', num2str(sigma), ')']); grid on;
Create a standard normal distribution object. Get pd = makedist('Normal') pd = NormalDistribution Normal distribution mu = 0 sigma = 1 Specify the x values and compute the cdf. Get x = -3:.1:3; p = cdf(pd,x); Plot the cdf of the standard normal distribution. Get plot...
3 第三，启动MATLAB，新建脚本（Ctrl+N），输入如下代码：close all; clear all; clcx=-1:.1:1;norm=normpdf(x,0,1);figure('Position',[50,50,600,500],'Name','Normal PDF',... 'Color',[1,1,1]);plot(x,norm,'r-','LineWidth...
plot(x, y, 'r', 'LineWidth', 2);legend('Histogram', 'Normal Distribution');```在这个示例...
sigma=0.500;x=linspace(mu-4*sigma,mu+4*sigma,101).';y=pdf('Normal',x,mu,sigma);plot(x...
4 第四，保存和运行上述脚本，得到双y轴的标准正态分布函数图形如下。5 第五，下面为左右两侧y轴添加坐标标注，继续添加如下代码：ylabel(hAx(1),'Normal Distribution Bar','FontSize',15)ylabel(hAx(2),'Normal Distribution Plot','FontSize',15)6 第六，保存和...
y = normpdf(x,0,1);plot(x,y); grid on; 结果: 自己写一个正态分布概率密度函数 % code2% 画正态分布概率密度函数% 写成了函数function[]=normal_distribution()x =-10:0.01:10; y = fx(x,0,1);% 自写函数plot(x,y); grid on;% 概率密度函数functionf=fx(x, miu, sig)f = (sqrt(2*...
x = poissrnd(10,[50,1]); y = poissrnd(5,[100,1]); qqplot(x,y) Even though the parameters and sample sizes are different, the approximate linear relationship suggests that the two samples may come from the same distribution family. As with normal probability plots, hypothesis tests can ...
plot(x,pdf_normal,'r','LineWidth',2) hold off title('居民月收入正态分布拟合') xlabel('月收入') ylabel('概率密度') mse = immse(data, pdf_normal); disp(['拟合效果均方误差为:', num2str(mse)]) ``` 以上示例中,我们首先给出了一组居民月收入的数据。然后,利用normfit函数对数据进行正态分...
This MATLAB function plots a probability density function (pdf) of the probability distribution object pd.