{"id":7641,"date":"2018-10-31T12:30:40","date_gmt":"2018-10-31T07:00:40","guid":{"rendered":"http:\/\/innoroo.com\/blog\/?p=7641"},"modified":"2018-10-26T09:11:54","modified_gmt":"2018-10-26T03:41:54","slug":"gaussian-distribution-glossary","status":"publish","type":"post","link":"https:\/\/innoroo.com\/blog\/2018\/10\/31\/gaussian-distribution-glossary\/","title":{"rendered":"Gaussian Distribution | Glossary"},"content":{"rendered":"<p><b>Definition:<\/b><\/p>\n<p><span style=\"font-weight: 400;\">Gaussian distribution (also referred to as normal distribution) is a bell-shaped curve, and it&#8217;s assumed that during any measurement values can follow a normal distribution with an equal number of measurements above and below the mean value.<\/span><\/p>\n<p><b>Further Reading:<\/b><\/p>\n<p><b>Book: <\/b><span style=\"font-weight: 400;\">Running Lean by Ash Maurya. <\/span><\/p>\n<p>&nbsp;<\/p>\n","protected":false},"excerpt":{"rendered":"<p>Definition: Gaussian distribution (also referred to as normal distribution) is a bell-shaped curve, and it&#8217;s assumed that during any measurement values can follow a normal distribution with an equal number of measurements above and below the mean value. Further Reading: Book: Running Lean by Ash Maurya. &nbsp;<\/p>\n","protected":false},"author":13,"featured_media":7642,"comment_status":"open","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"jetpack_post_was_ever_published":false,"_jetpack_newsletter_access":"","_jetpack_dont_email_post_to_subs":false,"_jetpack_newsletter_tier_id":0,"_jetpack_memberships_contains_paywalled_content":false,"_jetpack_memberships_contains_paid_content":false,"footnotes":"","jetpack_publicize_message":"Gaussian Distribution | Glossary #gaussiandistribution #glossary #ashmaurya","jetpack_publicize_feature_enabled":true,"jetpack_social_post_already_shared":true,"jetpack_social_options":{"image_generator_settings":{"template":"highway","enabled":false},"version":2}},"categories":[102],"tags":[1394,1397,105,1393],"class_list":["post-7641","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry","category-glossary","tag-ash-maurya","tag-gaussian-distribution","tag-glossary","tag-running-lean"],"jetpack_publicize_connections":[],"jetpack_featured_media_url":"https:\/\/i0.wp.com\/innoroo.com\/blog\/wp-content\/uploads\/2018\/10\/Gaussian-Distribution.png?fit=3125%2C1709&ssl=1","jetpack_sharing_enabled":true,"jetpack_shortlink":"https:\/\/wp.me\/p8Rui8-1Zf","jetpack-related-posts":[],"_links":{"self":[{"href":"https:\/\/innoroo.com\/blog\/wp-json\/wp\/v2\/posts\/7641","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/innoroo.com\/blog\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/innoroo.com\/blog\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/innoroo.com\/blog\/wp-json\/wp\/v2\/users\/13"}],"replies":[{"embeddable":true,"href":"https:\/\/innoroo.com\/blog\/wp-json\/wp\/v2\/comments?post=7641"}],"version-history":[{"count":1,"href":"https:\/\/innoroo.com\/blog\/wp-json\/wp\/v2\/posts\/7641\/revisions"}],"predecessor-version":[{"id":7643,"href":"https:\/\/innoroo.com\/blog\/wp-json\/wp\/v2\/posts\/7641\/revisions\/7643"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/innoroo.com\/blog\/wp-json\/wp\/v2\/media\/7642"}],"wp:attachment":[{"href":"https:\/\/innoroo.com\/blog\/wp-json\/wp\/v2\/media?parent=7641"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/innoroo.com\/blog\/wp-json\/wp\/v2\/categories?post=7641"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/innoroo.com\/blog\/wp-json\/wp\/v2\/tags?post=7641"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}