{"id":78245,"date":"2025-05-22T20:38:17","date_gmt":"2025-05-22T20:38:17","guid":{"rendered":"http:\/\/bangla.sitestree.com\/?p=78245"},"modified":"2025-06-08T21:34:01","modified_gmt":"2025-06-08T21:34:01","slug":"mcnemars-test","status":"publish","type":"post","link":"http:\/\/bangla.sitestree.com\/?p=78245","title":{"rendered":"McNemar’s Test"},"content":{"rendered":"\n

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

\"\"<\/figure>\n\n\n\n

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

Chi-Square<\/a><\/p>\n\n\n\n

McNemar’s<\/a>  Test<\/a><\/p>\n\n\n\n

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

Chi-square: \u201cA chi-square test is used to help determine if observed results are in line with expected results, and to rule out that observations are due to chance.\u201d Coinflip as an example [1]<\/p>\n\n\n\n

References:
1. https:\/\/www.investopedia.com\/terms\/c\/chi-square-statistic.asp<\/a>
<\/p>\n\n\n\n

Data Analytics, Machine Learning, Data Science<\/p>\n","protected":false},"excerpt":{"rendered":"

Chi-Square McNemar’s  Test Chi-square: \u201cA chi-square test is used to help determine if observed results are in line with expected results, and to rule out that observations are due to chance.\u201d Coinflip as an example [1] References:1. https:\/\/www.investopedia.com\/terms\/c\/chi-square-statistic.asp Data Analytics, Machine Learning, Data Science<\/p>\n","protected":false},"author":2,"featured_media":0,"comment_status":"open","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"_jetpack_memberships_contains_paid_content":false,"footnotes":""},"categories":[1974,1],"tags":[],"class_list":["post-78245","post","type-post","status-publish","format-standard","hentry","category-analytics-and-machine-learning-project-development","category-root","item-wrap"],"jetpack_featured_media_url":"","jetpack_sharing_enabled":true,"jetpack-related-posts":[{"id":16532,"url":"http:\/\/bangla.sitestree.com\/?p=16532","url_meta":{"origin":78245,"position":0},"title":"Part 1: Some Math\/Stat Background that (true) Data Scientists will know\/use: from the internet","author":"Sayed","date":"December 28, 2019","format":false,"excerpt":"Chebyshev's inequality \"In probability theory, Chebyshev's inequality (also called the Bienaym\u00e9\u2013Chebyshev inequality) guarantees that, for a wide class of probability distributions, no more than a certain fraction of values can be more than a certain distance from the mean. 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