{"author_name":"cross_hyou","author_url":"https://blog.hatena.ne.jp/cross_hyou/","type":"rich","description":"Unsplash\u306eMaarten van den Heuvel\u304c\u64ae\u5f71\u3057\u305f\u5199\u771f www.crosshyou.info This post is following of the above post. In this post, I will get confidence interval for one proportion. In this case, number of nuclear power plants in Japan / number of nuclear power plants on earth. First, I make a new dataframe to calcu\u2026","width":"100%","provider_name":"Hatena Blog","image_url":"https://cdn-ak.f.st-hatena.com/images/fotolife/c/cross_hyou/20230114/20230114204445.jpg","provider_url":"https://hatena.blog","url":"https://www.crosshyou.info/entry/2023/01/15/080550","published":"2023-01-15 08:05:50","blog_url":"https://www.crosshyou.info/","blog_title":"R\u3067\u4f55\u304b\u3092\u3057\u305f\u308a\u3001\u8aad\u66f8\u3092\u3059\u308b\u30d6\u30ed\u30b0","height":"190","categories":["Data_Analysis"],"title":"OECD Nuclear power plants data analysis 4 - Getting confidence interval for one proportion using R infer package","html":"<iframe src=\"https://hatenablog-parts.com/embed?url=https%3A%2F%2Fwww.crosshyou.info%2Fentry%2F2023%2F01%2F15%2F080550\" title=\"OECD Nuclear power plants data analysis 4 - Getting confidence interval for one proportion using R infer package - R\u3067\u4f55\u304b\u3092\u3057\u305f\u308a\u3001\u8aad\u66f8\u3092\u3059\u308b\u30d6\u30ed\u30b0\" class=\"embed-card embed-blogcard\" scrolling=\"no\" frameborder=\"0\" style=\"display: block; width: 100%; height: 190px; max-width: 500px; margin: 10px 0px;\"></iframe>","version":"1.0"}