{"provider_name":"Hatena Blog","title":"\u5206\u6563\u306e\u504f\u308a","provider_url":"https://hatena.blog","image_url":null,"author_name":"ryamada22","url":"https://ryamada22.hatenablog.jp/entry/20121201/1354257078","published":"2012-12-01 15:31:18","type":"rich","height":"190","description":"\u904a\u3073 2x2\u5206\u5272\u8868\u304c\u3042\u308b \u30ab\u30a4\u4e8c\u4e57\u7d71\u8a08\u91cf\u3092\u8a08\u7b97\u3059\u308b\u3053\u3068\u304c\u591a\u3044 \u7fa4\u5185\u5206\u6563\u3068\u7fa4\u9593\u5206\u6563\u3068\u3082\u8a08\u7b97\u3057\u3066\u305d\u306e\u6bd4\u3092\u3068\u3063\u305f\u308a\u3057\u3066\u307f\u3088\u3046 n.iter <- 1000 chis <- ss <- ss2 <- rep(0,n.iter) v <- sample(100:500,4) m <- matrix(v,2,2) a <- apply(m,1,sum) b <- apply(m,2,sum) m.e <- matrix(c(a[1]*b[1],a[1]*b[2],a[2]*b[1],a[2]*b[2]),2,2)/sum(v) N <- 100 rs <- rep(0,n.iter) for(i in 1\u2026","width":"100%","author_url":"https://blog.hatena.ne.jp/ryamada22/","version":"1.0","html":"<iframe src=\"https://hatenablog-parts.com/embed?url=https%3A%2F%2Fryamada22.hatenablog.jp%2Fentry%2F20121201%2F1354257078\" title=\"\u5206\u6563\u306e\u504f\u308a - ryamada\u306e\u907a\u4f1d\u5b66\u30fb\u907a\u4f1d\u7d71\u8a08\u5b66\u30e1\u30e2\" class=\"embed-card embed-blogcard\" scrolling=\"no\" frameborder=\"0\" style=\"display: block; width: 100%; height: 190px; max-width: 500px; margin: 10px 0px;\"></iframe>","categories":["ANOVA","\u5206\u5272\u8868"],"blog_url":"https://ryamada22.hatenablog.jp/","blog_title":"ryamada\u306e\u907a\u4f1d\u5b66\u30fb\u907a\u4f1d\u7d71\u8a08\u5b66\u30e1\u30e2"}