{"url":"https://minus9d.hatenablog.com/entry/2014/04/07/225534","type":"rich","version":"1.0","title":"Coursera\u306eData Analysis and Statistical Inference Week 6","blog_title":"minus9d's diary","categories":["math"],"provider_name":"Hatena Blog","author_name":"minus9d","html":"<iframe src=\"https://hatenablog-parts.com/embed?url=https%3A%2F%2Fminus9d.hatenablog.com%2Fentry%2F2014%2F04%2F07%2F225534\" title=\"Coursera\u306eData Analysis and Statistical Inference Week 6 - minus9d&#39;s diary\" class=\"embed-card embed-blogcard\" scrolling=\"no\" frameborder=\"0\" style=\"display: block; width: 100%; height: 190px; max-width: 500px; margin: 10px 0px;\"></iframe>","blog_url":"https://minus9d.hatenablog.com/","author_url":"https://blog.hatena.ne.jp/minus9d/","image_url":null,"height":"190","provider_url":"https://hatena.blog","published":"2014-04-07 22:55:34","description":"Data Analysis and Statistical Inference | Coursera\u306eWeek 6\u306e\u53d7\u8b1b\u30e1\u30e2\u3002\u4eca\u9031\u306f\u30ab\u30c6\u30b4\u30ea\u30ab\u30eb\u30c7\u30fc\u30bf\u306b\u95a2\u3059\u308b\u691c\u5b9a\u306a\u3069\u3082\u308d\u3082\u308d\u3002\u76ee\u7684\u3068\u3001\u305d\u306e\u305f\u3081\u306e\u624b\u6cd5\u304c\u3044\u304f\u3064\u3082\u7d39\u4ecb\u3055\u308c\u3066\u3001\u6b63\u76f4\u6d88\u5316\u4e0d\u826f\u6c17\u5473\u3002 \u4eca\u9031\u304b\u3089MathJax\u3092\u4f7f\u3063\u3066\u6570\u5f0f\u3092\u8868\u793a\u3057\u3066\u307f\u305f\u3002\u7dba\u9e97\u306b\u6570\u5f0f\u304c\u51fa\u308b\u306e\u306f\u3044\u3044\u304c\u3001\u30a8\u30b9\u30b1\u30fc\u30d7\u304c\u3081\u3093\u3069\u304f\u3066\u8f9f\u6613\u3002 Video CLT for proportions \\( \\hat{p} \\sim N(mean = p, SE = \\sqrt{\\frac{p(1-p)}{n}}) \\) CLT\u306e\u305f\u3081\u306e\u6761\u4ef6 \u72ec\u7acb\u6027 random sample / assignmen\u2026","width":"100%"}