判断一组数据是否服从正态分布(matlab)程序代码(共1页).doc
精选优质文档-倾情为你奉上t检验（R软件）x<-c(62.7,80.3,80.4,68.6,73.3,72.2,71.5,72.3,81.5,78.6,78.6,77.1,77.2,85.6,78,69.2,73.8,73,78.6,78.6,77.1,77.2,85.6,78,69.2,73.8,73)y<-c(68.1,74,74.6,71.2,72.1,66.3,65.3,66,78.2,68.8,61.6,68.3,68.8,72.6,65.7,69.9,74.5,65.4, 72.6,75.8,72.2,71.6,77.1,71.5,68.2,72,71.5)t.test(x, y, var.equal=TRUE)当p-value>0.05时，x,y无显著性差异；否则有。（适用于两组数据的个数相等时）F检验(R软件)x<-c(62.7,80.3,80.4,68.6,73.3,72.2,71.5,72.3,81.5,78.6,78.6,77.1,77.2,85.6,78,69.2,73.8,73,78.6,78.6,77.1,77.2,85.6,78,69.2,73.8,73)y<-c(68.1,74,74.6,71.2,72.1,66.3,65.3,66,78.2,68.8,61.6,68.3,68.8,72.6,65.7,69.9,74.5,65.4, 72.6,75.8,72.2,71.6,77.1,71.5,68.2,72,71.5)var.test(x, y)当p-value>0.05时，x,y方差相同；否则不同。判断一组数据是否服从正态分布（matlab）x=62.7,80.3,80.4,68.6,73.3,72.2,71.5,72.3,81.5,78.6,78.6,77.1,77.2,85.6,78,69.2,73.8,73,78.6,78.6,77.1,77.2,85.6,78,69.2,73.8,73;x = x'alpha = 0.05;% 正态分布判断mu, sigma = normfit(x);p1 = normcdf(x, mu, sigma);H1,s1 = kstest(x, x, p1, alpha);n = length(x);if H1 = 0 disp('该数据源服从正态分布。')else disp('该数据源不服从正态分布。')end变异系数计算： C.V =（ 标准偏差 ÷平均值 ）× 100%，变异系数越小越稳定。（适用于正态分布）灰色预测线性回归inv(x)或x-1求x的逆, rank(x)x的秩, a,lamda=eig(x)求矩阵a的特征值与特征向量（方阵）， rotate3d用于旋转三维图形， grid on用于加网格， zoom on放大图形，zeros（3,3）全0阵ones（3,3）eye（3,3）单位阵专心-专注-专业
