{"id":1711,"date":"2019-02-12T06:36:00","date_gmt":"2019-02-12T06:36:00","guid":{"rendered":"https:\/\/www.aiproblog.com\/index.php\/2019\/02\/12\/31-statistical-concepts-explained-in-simple-english-part-9\/"},"modified":"2019-02-12T06:36:00","modified_gmt":"2019-02-12T06:36:00","slug":"31-statistical-concepts-explained-in-simple-english-part-9","status":"publish","type":"post","link":"https:\/\/www.aiproblog.com\/index.php\/2019\/02\/12\/31-statistical-concepts-explained-in-simple-english-part-9\/","title":{"rendered":"31 Statistical Concepts Explained in Simple English &#8211; Part 9"},"content":{"rendered":"<p>Author: Vincent Granville<\/p>\n<div>\n<p>This resource is part of a series on specific topics related to data science: regression, clustering, neural networks, deep learning, decision trees, ensembles, correlation, Python, R, Tensorflow, SVM, data reduction, feature selection, experimental design, cross-validation, model fitting, and many more. To keep receiving these articles,<span>\u00a0<\/span><a href=\"https:\/\/www.datasciencecentral.com\/profiles\/blogs\/check-out-our-dsc-newsletter\" target=\"_blank\" rel=\"noopener\">sign up on DSC<\/a>.<\/p>\n<\/p>\n<p><a href=\"https:\/\/storage.ning.com\/topology\/rest\/1.0\/file\/get\/1031123066?profile=original\" target=\"_blank\" rel=\"noopener\"><img decoding=\"async\" src=\"https:\/\/storage.ning.com\/topology\/rest\/1.0\/file\/get\/1031123066?profile=RESIZE_710x\" class=\"align-center\"><\/a>\u00a0<strong>31 Statistical Concepts Explained in Simple English<\/strong><\/p>\n<ul>\n<li><a href=\"https:\/\/www.statisticshowto.datasciencecentral.com\/hotellings-t-squared\/\">Hotelling&#8217;s T-Squared: Simple Definition<\/a><\/li>\n<li><a href=\"https:\/\/www.statisticshowto.datasciencecentral.com\/how-to-calculate-normal-distribution-probability-in-excel\/\">Normal Distribution Probability in Excel: All Versions up to 2016<\/a><\/li>\n<li><a href=\"https:\/\/www.statisticshowto.datasciencecentral.com\/hypergeometric-distribution-examples\/\">Hypergeometric Distribution: Examples and Formula<\/a><\/li>\n<li><a href=\"https:\/\/www.statisticshowto.datasciencecentral.com\/hypothesis-test-in-excel-for-the-population-mean-large-sample\/\">Hypothesis Test in Excel for the Population Mean (Large Sample)<\/a><\/li>\n<li><a href=\"https:\/\/www.statisticshowto.datasciencecentral.com\/idempotent-matrix\/\">Idempotent Matrix: Definition, Examples<\/a><\/li>\n<li><a href=\"https:\/\/www.statisticshowto.datasciencecentral.com\/iid-statistics\/\">IID Statistics: Independent and Identically Distributed Definition and Examples<\/a><\/li>\n<li><a href=\"https:\/\/www.statisticshowto.datasciencecentral.com\/independent-random-variables\/\">Independent Random Variables: Definition, Examples<\/a><\/li>\n<li><a href=\"https:\/\/www.statisticshowto.datasciencecentral.com\/independent-samples-t-test\/\">Independent Samples T Test (Unpaired Samples): Definition, Running<\/a><\/li>\n<li><a href=\"https:\/\/www.statisticshowto.datasciencecentral.com\/independent-variable-definition\/\">Independent Variable (Treatment Variable) Definition and Uses<\/a><\/li>\n<li><a href=\"https:\/\/www.statisticshowto.datasciencecentral.com\/index-number\/\">Index Number: Simple Definition<\/a><\/li>\n<li><a href=\"https:\/\/www.statisticshowto.datasciencecentral.com\/inferential-statistics\/\">Inferential Statistics: Definition, Uses<\/a><\/li>\n<li><a href=\"https:\/\/www.statisticshowto.datasciencecentral.com\/information-bias-observation\/\">Information Bias (Observation Bias): Definition, Examples<\/a><\/li>\n<li><a href=\"https:\/\/www.statisticshowto.datasciencecentral.com\/instrumental-variable\/\">Instrumental Variable: Definition &#038; Overview<\/a><\/li>\n<li><a href=\"https:\/\/www.statisticshowto.datasciencecentral.com\/interaction-effect-interacting-variable\/\">Interaction Effect, Statistical Interactions &#038; Interacting Variable<\/a><\/li>\n<li><a href=\"https:\/\/www.statisticshowto.datasciencecentral.com\/internal-consistency\/\">Internal Consistency Reliability: Definition, Examples<\/a><\/li>\n<li><a href=\"https:\/\/www.statisticshowto.datasciencecentral.com\/internal-validity\/\">Internal Validity: Definition and Examples<\/a><\/li>\n<li><a href=\"https:\/\/www.statisticshowto.datasciencecentral.com\/inter-rater-reliability\/\">Inter-rater Reliability IRR: Definition, Calculation<\/a><\/li>\n<li><a href=\"https:\/\/www.statisticshowto.datasciencecentral.com\/interval-estimate\/\">Interval Estimate: Definition, Examples<\/a><\/li>\n<li><a href=\"https:\/\/www.statisticshowto.datasciencecentral.com\/interval-scale\/\">Interval Scale &#038; Interval Variable: Simple Definition &#038; Examples<\/a><\/li>\n<li><a href=\"https:\/\/www.statisticshowto.datasciencecentral.com\/intervening-variable\/\">Intervening variable: Simple Definition &#038; Examples<\/a><\/li>\n<li><a href=\"https:\/\/www.statisticshowto.datasciencecentral.com\/intraclass-correlation\/\">Intraclass Correlation<\/a><\/li>\n<li><a href=\"https:\/\/www.statisticshowto.datasciencecentral.com\/inverse-gamma-distribution\/\">Inverse Gamma Distribution: Definition, Mean, Variance, PDF<\/a><\/li>\n<li><a href=\"https:\/\/www.statisticshowto.datasciencecentral.com\/inverse-normal-distribution\/\">Inverse Normal Distribution<\/a><\/li>\n<li><a href=\"https:\/\/www.statisticshowto.datasciencecentral.com\/jaccard-index\/\">Jaccard Index \/ Similarity Coefficient<\/a><\/li>\n<li><a href=\"https:\/\/www.statisticshowto.datasciencecentral.com\/jarque-bera-test\/\">Jarque-Bera Test<\/a><\/li>\n<li><a href=\"https:\/\/www.statisticshowto.datasciencecentral.com\/joint-probability-distribution\/\">Joint Probability and Joint Distributions: Definition, Examples<\/a><\/li>\n<li><a href=\"https:\/\/www.statisticshowto.datasciencecentral.com\/kaiser-meyer-olkin\/\">Kaiser-Meyer-Olkin (KMO) Test for Sampling Adequacy<\/a><\/li>\n<li><a href=\"https:\/\/www.statisticshowto.datasciencecentral.com\/kendalls-tau\/\">Kendall&#8217;s Tau (Kendall Rank Correlation Coefficient)<\/a><\/li>\n<li><a href=\"https:\/\/www.statisticshowto.datasciencecentral.com\/kolmogorov-smirnov-test\/\">Kolmogorov-Smirnov Goodness of Fit Test<\/a><\/li>\n<li><a href=\"https:\/\/www.statisticshowto.datasciencecentral.com\/kpss-test\/\">KPSS Test: Definition and Interpretation<\/a><\/li>\n<li><a href=\"https:\/\/www.statisticshowto.datasciencecentral.com\/krippendorffs-alpha\/\">Krippendorff&#8217;s Alpha Reliability Estimate: Simple Definition<\/a><\/li>\n<\/ul>\n<p>Previous editions can be accessed here:<span>\u00a0<\/span><a href=\"https:\/\/www.datasciencecentral.com\/profiles\/blogs\/29-statistical-concepts-explained-in-simple-english-part-1\" target=\"_blank\" rel=\"noopener\">Part 1<\/a><span>\u00a0<\/span>|<span>\u00a0<\/span><a href=\"https:\/\/www.datasciencecentral.com\/profiles\/blogs\/25-statistical-concepts-explained-in-simple-english-part-2\" target=\"_blank\" rel=\"noopener\">Part 2<\/a><span>\u00a0<\/span>|<span>\u00a0<\/span><a href=\"https:\/\/www.datasciencecentral.com\/profiles\/blogs\/29-statistical-concepts-explained-in-simple-english-part-2\" target=\"_blank\" rel=\"noopener\">Part 3<\/a>\u00a0|<span>\u00a0<\/span><a href=\"https:\/\/www.datasciencecentral.com\/profiles\/blogs\/29-statistical-concepts-explained-in-simple-english-part-4\" target=\"_blank\" rel=\"noopener\">Part 4<\/a>\u00a0|<span>\u00a0<\/span><a href=\"https:\/\/www.datasciencecentral.com\/profiles\/blogs\/27-statistical-concepts-explained-in-simple-english-part-5\" target=\"_blank\" rel=\"noopener\">Part 5<\/a>\u00a0|<span>\u00a0<\/span><a href=\"https:\/\/www.datasciencecentral.com\/profiles\/blogs\/26-statistical-concepts-explained-in-simple-english-part-6\" target=\"_blank\" rel=\"noopener\">Part 6<\/a><em>\u00a0|<\/em><span>\u00a0<\/span><a href=\"https:\/\/www.datasciencecentral.com\/profiles\/blogs\/23-statistical-concepts-explained-in-simple-english-part-7\" target=\"_blank\" rel=\"noopener\">Part 7<\/a><em>\u00a0|<\/em> <span><a href=\"https:\/\/www.datasciencecentral.com\/profiles\/blogs\/31-statistical-concepts-explained-in-simple-english-part-8\" target=\"_blank\" rel=\"noopener\">Part 8<\/a>.\u00a0<\/span><\/p>\n<p><em>To make sure you keep getting these emails, please add\u00a0\u00a0mail@newsletter.datasciencecentral.com\u00a0<\/em><span><em>to your address book or whitelist us.\u00a0<\/em>\u00a0<\/span><\/p>\n<p><strong>DSC Resources<\/strong><\/p>\n<ul>\n<li><a href=\"https:\/\/www.datasciencecentral.com\/profiles\/blogs\/check-out-our-dsc-newsletter\">Join DSC<\/a><\/li>\n<li><a href=\"https:\/\/www.datasciencecentral.com\/profiles\/blogs\/new-books-and-resources-for-dsc-members\">Free Books<\/a><br \/><a href=\"https:\/\/www.datasciencecentral.com\/forum\"><\/a><\/li>\n<li><a href=\"https:\/\/www.datasciencecentral.com\/forum\">Forum Discussions<\/a><br \/><a href=\"https:\/\/www.datasciencecentral.com\/page\/search?q=cheat+sheets\"><\/a><\/li>\n<li><a href=\"https:\/\/www.datasciencecentral.com\/page\/search?q=cheat+sheets\">Cheat Sheets<\/a><br \/><a href=\"https:\/\/analytictalent.com\/\"><\/a><\/li>\n<li><a href=\"https:\/\/www.analytictalent.datasciencecentral.com\/\">Jobs<\/a><\/li>\n<li><a href=\"https:\/\/www.datasciencecentral.com\/page\/search?q=one+picture\" target=\"_blank\" rel=\"noopener\">Search DSC<\/a><\/li>\n<li><a href=\"https:\/\/twitter.com\/DataScienceCtrl\" target=\"_self\">DSC on Twitter<\/a><\/li>\n<li><a href=\"https:\/\/www.facebook.com\/DataScienceCentralCommunity\/\" target=\"_blank\" rel=\"noopener\">DSC on Facebook<\/a><\/li>\n<\/ul>\n<\/div>\n<p><a href=\"https:\/\/www.datasciencecentral.com\/xn\/detail\/6448529:BlogPost:801353\">Go to Source<\/a><\/p>\n","protected":false},"excerpt":{"rendered":"<p>Author: Vincent Granville This resource is part of a series on specific topics related to data science: regression, clustering, neural networks, deep learning, decision trees, [&hellip;] <span class=\"read-more-link\"><a class=\"read-more\" href=\"https:\/\/www.aiproblog.com\/index.php\/2019\/02\/12\/31-statistical-concepts-explained-in-simple-english-part-9\/\">Read More<\/a><\/span><\/p>\n","protected":false},"author":1,"featured_media":466,"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\/1711"}],"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=1711"}],"version-history":[{"count":0,"href":"https:\/\/www.aiproblog.com\/index.php\/wp-json\/wp\/v2\/posts\/1711\/revisions"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/www.aiproblog.com\/index.php\/wp-json\/wp\/v2\/media\/460"}],"wp:attachment":[{"href":"https:\/\/www.aiproblog.com\/index.php\/wp-json\/wp\/v2\/media?parent=1711"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/www.aiproblog.com\/index.php\/wp-json\/wp\/v2\/categories?post=1711"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/www.aiproblog.com\/index.php\/wp-json\/wp\/v2\/tags?post=1711"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}