{"id":1628,"date":"2019-01-25T06:36:58","date_gmt":"2019-01-25T06:36:58","guid":{"rendered":"https:\/\/www.aiproblog.com\/index.php\/2019\/01\/25\/23-statistical-concepts-explained-in-simple-english-part-7\/"},"modified":"2019-01-25T06:36:58","modified_gmt":"2019-01-25T06:36:58","slug":"23-statistical-concepts-explained-in-simple-english-part-7","status":"publish","type":"post","link":"https:\/\/www.aiproblog.com\/index.php\/2019\/01\/25\/23-statistical-concepts-explained-in-simple-english-part-7\/","title":{"rendered":"23 Statistical Concepts Explained in Simple English &#8211; Part 7"},"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>.\u00a0<\/p>\n<p><a href=\"https:\/\/storage.ning.com\/topology\/rest\/1.0\/file\/get\/873739064?profile=original\" target=\"_blank\" rel=\"noopener\"><img decoding=\"async\" src=\"https:\/\/storage.ning.com\/topology\/rest\/1.0\/file\/get\/873739064?profile=RESIZE_710x\" class=\"align-center\"><\/a><\/p>\n<p><strong>23 Statistical Concepts Explained in Simple English<\/strong><\/p>\n<ul>\n<li><a href=\"https:\/\/www.statisticshowto.datasciencecentral.com\/face-validity\/\">Face Validity: Definition and Examples<\/a><\/li>\n<li><a href=\"https:\/\/www.statisticshowto.datasciencecentral.com\/factor-analysis\/\">Factor analysis: Easy Definition<\/a><\/li>\n<li><a href=\"https:\/\/www.statisticshowto.datasciencecentral.com\/false-discovery-rate\/\">False Discovery Rate: Simple Definition, Adjusting for FDR<\/a><\/li>\n<li><a href=\"https:\/\/www.statisticshowto.datasciencecentral.com\/false-positive-definition-and-examples\/\">False Positive and False Negative: Definition and Examples<\/a><\/li>\n<li><a href=\"https:\/\/www.statisticshowto.datasciencecentral.com\/familywise-error-rate\/\">Familywise Error Rate (Alpha Inflation): Definition<\/a><\/li>\n<li><a href=\"https:\/\/www.statisticshowto.datasciencecentral.com\/fat-tail-distribution\/\">Fat Tail Distribution: Definition, Examples<\/a><\/li>\n<li><a href=\"https:\/\/www.statisticshowto.datasciencecentral.com\/find-5-number-summary-in-excel\/\">5 Number Summary in Excel: Easy Steps with Video<\/a><\/li>\n<li><a href=\"https:\/\/www.statisticshowto.datasciencecentral.com\/find-outliers\/\">Outliers: Finding Them in Data, Formula, Examples. Easy Steps and Video<\/a><\/li>\n<li><a href=\"https:\/\/www.statisticshowto.datasciencecentral.com\/find-pearsons-coefficient-skewness-excel\/\">How to Find Pearson&#8217;s Coefficient of Skewness in Excel<\/a><\/li>\n<li><a href=\"https:\/\/www.statisticshowto.datasciencecentral.com\/find-pooled-sample-standard-error\/\">Pooled Sample Standard Error: How to Calculate it<\/a><\/li>\n<li><a href=\"https:\/\/www.statisticshowto.datasciencecentral.com\/find-regression-slope-intercept\/\">Regression Slope Intercept: How to Find it in Easy Steps<\/a><\/li>\n<li><a href=\"https:\/\/www.statisticshowto.datasciencecentral.com\/find-standard-error-excel-2013\/\">Standard Error Excel 2013 in Easy Steps<\/a><\/li>\n<li><a href=\"https:\/\/www.statisticshowto.datasciencecentral.com\/find-standard-error-regression-slope\/\">Standard Error of Regression Slope<\/a><\/li>\n<li><a href=\"https:\/\/www.statisticshowto.datasciencecentral.com\/find-t-critical-value-ti-83\/\">How to Find t Critical Value on TI 83<\/a><\/li>\n<li><a href=\"https:\/\/www.statisticshowto.datasciencecentral.com\/find-variance-minitab\/\">Variance in Minitab: How to Find it<\/a><\/li>\n<li><a href=\"https:\/\/www.statisticshowto.datasciencecentral.com\/finite-population-correction-factor\/\">Finite Population Correction Factor FPC: Formula, Examples<\/a><\/li>\n<li><a href=\"https:\/\/www.statisticshowto.datasciencecentral.com\/fisher-z\/\">Fisher Z-Transformation<\/a><\/li>\n<li><a href=\"https:\/\/www.statisticshowto.datasciencecentral.com\/fleiss-kappa\/\">Fleiss&#8217; Kappa<\/a><\/li>\n<li><a href=\"https:\/\/www.statisticshowto.datasciencecentral.com\/fmax-hartleys-test\/\">Fmax \/ Hartley&#8217;s Test: Definition, Step by Step Example, Table<\/a><\/li>\n<li><a href=\"https:\/\/www.statisticshowto.datasciencecentral.com\/fractile-simple-definition\/\">Fractile Definition Usage and How to Calculate<\/a><\/li>\n<li><a href=\"https:\/\/www.statisticshowto.datasciencecentral.com\/frequency-distribution-table-in-excel\/\">Frequency Distribution Table in Excel &#8212; Easy Steps!<\/a><\/li>\n<li><a href=\"https:\/\/www.statisticshowto.datasciencecentral.com\/frequency-polygon\/\">Frequency Polygon: Definition and How to Make One<\/a><\/li>\n<li><a href=\"https:\/\/www.statisticshowto.datasciencecentral.com\/friedmans-test\/\">Friedman&#8217;s Test \/ Two Way Analysis of Variance by Ranks<\/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| <a href=\"https:\/\/www.datasciencecentral.com\/profiles\/blogs\/26-statistical-concepts-explained-in-simple-english-part-6\" target=\"_blank\" rel=\"noopener\">Part 6<\/a>.\u00a0<\/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><span>Follow us:\u00a0<a href=\"https:\/\/twitter.com\/DataScienceCtrl\">Twitter<\/a>\u00a0|\u00a0<a href=\"https:\/\/www.facebook.com\/DataScienceCentralCommunity\/\">Facebook<\/a><\/span><\/p>\n<p><span><b>DSC Resources<\/b><\/span><\/p>\n<ul>\n<li><a href=\"https:\/\/www.datasciencecentral.com\/profiles\/blogs\/new-books-and-resources-for-dsc-members\">Book and Resources for DSC Members<\/a><\/li>\n<li><a href=\"https:\/\/www.datasciencecentral.com\/profiles\/blogs\/comprehensive-repository-of-data-science-and-ml-resources\">Comprehensive Repository of Data Science and ML Resources<\/a><\/li>\n<li><a href=\"https:\/\/www.datasciencecentral.com\/profiles\/blogs\/advanced-machine-learning-with-basic-excel\">Advanced Machine Learning with Basic Excel<\/a><\/li>\n<li><a href=\"https:\/\/www.datasciencecentral.com\/profiles\/blogs\/difference-between-machine-learning-data-science-ai-deep-learning\">Difference between ML, Data Science, AI, Deep Learning, and Statistics<\/a><\/li>\n<li><a href=\"https:\/\/www.datasciencecentral.com\/profiles\/blogs\/my-data-science-machine-learning-and-related-articles\">Selected Business Analytics, Data Science and ML articles<\/a><\/li>\n<li><a href=\"http:\/\/careers.analytictalent.com\/jobs\/products\">Hire a Data Scientist<\/a><span>\u00a0<\/span>|<span>\u00a0<\/span><a href=\"http:\/\/www.datasciencecentral.com\/page\/search?q=Python\">Search DSC<\/a><span>\u00a0<\/span>|<span>\u00a0<\/span><a href=\"http:\/\/www.analytictalent.com\/\">Find a Job<\/a><\/li>\n<li><a href=\"http:\/\/www.datasciencecentral.com\/profiles\/blog\/new\">Post a Blog<\/a><span>\u00a0<\/span>|<span>\u00a0<\/span><a href=\"http:\/\/www.datasciencecentral.com\/forum\/topic\/new\">Forum Questions<\/a><\/li>\n<\/ul>\n<\/div>\n<p><a href=\"https:\/\/www.datasciencecentral.com\/xn\/detail\/6448529:BlogPost:795899\">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\/01\/25\/23-statistical-concepts-explained-in-simple-english-part-7\/\">Read More<\/a><\/span><\/p>\n","protected":false},"author":1,"featured_media":474,"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\/1628"}],"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=1628"}],"version-history":[{"count":0,"href":"https:\/\/www.aiproblog.com\/index.php\/wp-json\/wp\/v2\/posts\/1628\/revisions"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/www.aiproblog.com\/index.php\/wp-json\/wp\/v2\/media\/464"}],"wp:attachment":[{"href":"https:\/\/www.aiproblog.com\/index.php\/wp-json\/wp\/v2\/media?parent=1628"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/www.aiproblog.com\/index.php\/wp-json\/wp\/v2\/categories?post=1628"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/www.aiproblog.com\/index.php\/wp-json\/wp\/v2\/tags?post=1628"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}