{"id":43,"date":"2015-04-21T12:13:58","date_gmt":"2015-04-21T17:13:58","guid":{"rendered":"http:\/\/blogs.msucares.com\/theriskproject\/?p=43"},"modified":"2015-04-21T12:13:58","modified_gmt":"2015-04-21T17:13:58","slug":"confidence-interval-around-a-proportion","status":"publish","type":"post","link":"https:\/\/blogs.extension.msstate.edu\/theriskproject\/confidence-interval-around-a-proportion\/","title":{"rendered":"Confidence interval around a proportion"},"content":{"rendered":"<p>This Excel spreadsheet provides the upper and lower bounds for confidence intervals surrounding a proportion.\u00a0 This is useful for determining the precision of an estimate of a proportion from a given sample size.\u00a0 For example, the true population proportion is expected to be within the bounds of a 95% confidence interval 95% of the time assuming unbiased sampling.<\/p>\n<p><a href=\"https:\/\/blogs.extension.msstate.edu\/theriskproject\/files\/2015\/04\/Confidence-intervals-around-a-proportion-2.xlsx\">Confidence intervals around a proportion 2<\/a><\/p>\n","protected":false},"excerpt":{"rendered":"<p>This Excel spreadsheet provides the upper and lower bounds for confidence intervals surrounding a proportion.\u00a0 This is useful for determining the precision of an estimate of a proportion from a given sample size.\u00a0 For example, the true population proportion is &hellip; <a href=\"https:\/\/blogs.extension.msstate.edu\/theriskproject\/confidence-interval-around-a-proportion\/\">Continue reading <span class=\"meta-nav\">&rarr;<\/span><\/a><\/p>\n","protected":false},"author":55,"featured_media":0,"comment_status":"closed","ping_status":"closed","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":"","jetpack_publicize_feature_enabled":true,"jetpack_social_post_already_shared":false,"jetpack_social_options":{"image_generator_settings":{"template":"highway","default_image_id":0,"font":"","enabled":false},"version":2}},"categories":[6],"tags":[15,14],"coauthors":[],"class_list":["post-43","post","type-post","status-publish","format-standard","hentry","category-epi-methods","tag-confidence-interval","tag-proportion"],"jetpack_publicize_connections":[],"jetpack_featured_media_url":"","jetpack_sharing_enabled":true,"jetpack_shortlink":"https:\/\/wp.me\/p7pWHv-H","_links":{"self":[{"href":"https:\/\/blogs.extension.msstate.edu\/theriskproject\/wp-json\/wp\/v2\/posts\/43","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/blogs.extension.msstate.edu\/theriskproject\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/blogs.extension.msstate.edu\/theriskproject\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/blogs.extension.msstate.edu\/theriskproject\/wp-json\/wp\/v2\/users\/55"}],"replies":[{"embeddable":true,"href":"https:\/\/blogs.extension.msstate.edu\/theriskproject\/wp-json\/wp\/v2\/comments?post=43"}],"version-history":[{"count":1,"href":"https:\/\/blogs.extension.msstate.edu\/theriskproject\/wp-json\/wp\/v2\/posts\/43\/revisions"}],"predecessor-version":[{"id":45,"href":"https:\/\/blogs.extension.msstate.edu\/theriskproject\/wp-json\/wp\/v2\/posts\/43\/revisions\/45"}],"wp:attachment":[{"href":"https:\/\/blogs.extension.msstate.edu\/theriskproject\/wp-json\/wp\/v2\/media?parent=43"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/blogs.extension.msstate.edu\/theriskproject\/wp-json\/wp\/v2\/categories?post=43"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/blogs.extension.msstate.edu\/theriskproject\/wp-json\/wp\/v2\/tags?post=43"},{"taxonomy":"author","embeddable":true,"href":"https:\/\/blogs.extension.msstate.edu\/theriskproject\/wp-json\/wp\/v2\/coauthors?post=43"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}