{"title":"OECD International Student Mobility Data Analysis 3 - t-test with t.test() function using R","blog_url":"https://www.crosshyou.info/","categories":["Data_Analysis"],"provider_url":"https://hatena.blog","width":"100%","author_name":"cross_hyou","image_url":"https://cdn-ak.f.st-hatena.com/images/fotolife/c/cross_hyou/20210722/20210722080635.jpg","blog_title":"R\u3067\u4f55\u304b\u3092\u3057\u305f\u308a\u3001\u8aad\u66f8\u3092\u3059\u308b\u30d6\u30ed\u30b0","height":"190","author_url":"https://blog.hatena.ne.jp/cross_hyou/","url":"https://www.crosshyou.info/entry/2021/07/22/083848","description":"Photo by Tegar Surya on Unsplash www.crosshyou.info This post is following of above post.In this post, let's do t-test with t.test() function using R. In the previous post we see International Mobility is gradually increasing.Let's confirm it if it is statistically sognificant or not. Firstly, let's\u2026","type":"rich","html":"<iframe src=\"https://hatenablog-parts.com/embed?url=https%3A%2F%2Fwww.crosshyou.info%2Fentry%2F2021%2F07%2F22%2F083848\" title=\"OECD International Student Mobility Data Analysis 3 - t-test with t.test() function using R - 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>","published":"2021-07-22 08:38:48","provider_name":"Hatena Blog","version":"1.0"}