{"id":3290,"date":"2020-03-31T06:37:55","date_gmt":"2020-03-31T06:37:55","guid":{"rendered":"https:\/\/www.aiproblog.com\/index.php\/2020\/03\/31\/choosing-the-correct-statistical-test\/"},"modified":"2020-03-31T06:37:55","modified_gmt":"2020-03-31T06:37:55","slug":"choosing-the-correct-statistical-test","status":"publish","type":"post","link":"https:\/\/www.aiproblog.com\/index.php\/2020\/03\/31\/choosing-the-correct-statistical-test\/","title":{"rendered":"Choosing the Correct Statistical Test"},"content":{"rendered":"

Author: Stephanie Glen<\/p>\n

\n

In a previous blog post<\/a>, I created a flow chart showing how to choose a statistical test from a dozen different tests. While researching the article, I came across a short and sweet version which only includes four of the more basic tests: chi-square<\/a>, t-test<\/a>, one-way Anova<\/a>, and Pearson’s Correlation<\/a>.  What I really liked about the chart was that it included an example of each data type. I’m recreating the essence of that chart here with a few modifications.<\/p>\n

<\/a><\/p>\n

References<\/h2>\n

Understanding Research Results<\/a><\/p>\n<\/div>\n

Go to Source<\/a><\/p>\n","protected":false},"excerpt":{"rendered":"

Author: Stephanie Glen In a previous blog post, I created a flow chart showing how to choose a statistical test from a dozen different tests. […] Read More<\/a><\/span><\/p>\n","protected":false},"author":1,"featured_media":464,"comment_status":"open","ping_status":"closed","sticky":false,"template":"","format":"standard","meta":{"_bbp_topic_count":0,"_bbp_reply_count":0,"_bbp_total_topic_count":0,"_bbp_total_reply_count":0,"_bbp_voice_count":0,"_bbp_anonymous_reply_count":0,"_bbp_topic_count_hidden":0,"_bbp_reply_count_hidden":0,"_bbp_forum_subforum_count":0,"footnotes":""},"categories":[26],"tags":[],"_links":{"self":[{"href":"https:\/\/www.aiproblog.com\/index.php\/wp-json\/wp\/v2\/posts\/3290"}],"collection":[{"href":"https:\/\/www.aiproblog.com\/index.php\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/www.aiproblog.com\/index.php\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/www.aiproblog.com\/index.php\/wp-json\/wp\/v2\/users\/1"}],"replies":[{"embeddable":true,"href":"https:\/\/www.aiproblog.com\/index.php\/wp-json\/wp\/v2\/comments?post=3290"}],"version-history":[{"count":0,"href":"https:\/\/www.aiproblog.com\/index.php\/wp-json\/wp\/v2\/posts\/3290\/revisions"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/www.aiproblog.com\/index.php\/wp-json\/wp\/v2\/media\/458"}],"wp:attachment":[{"href":"https:\/\/www.aiproblog.com\/index.php\/wp-json\/wp\/v2\/media?parent=3290"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/www.aiproblog.com\/index.php\/wp-json\/wp\/v2\/categories?post=3290"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/www.aiproblog.com\/index.php\/wp-json\/wp\/v2\/tags?post=3290"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}