{"469571":{"#nid":"469571","#data":{"type":"event","title":"Statistics Seminar - Gary Lorden","body":[{"value":"\u003Cp\u003ETITLE: Confidence Intervals for a Proportion - the Good, the Bad, and the Ugly\u003C\/p\u003E\u003Cp\u003EABSTRACT:\u003C\/p\u003E\u003Cp\u003EIntroductory statistics books teach how to calculate confidence intervals for a proportion as an easy application of formulas for the standard error in sampling from binomial or hypergeometric distributions.\u0026nbsp;\u0026nbsp; Assurances that \u201cthe approximation is good if the sample size n is at least 30\u201d are typical.\u0026nbsp; But even for much larger n the performance of the usual confidence intervals can best be described as \u201cugly\u201d.\u0026nbsp;\u0026nbsp; Using better approximate methods only improves the results to \u201cbad\u201d.\u0026nbsp; Analyzing how to get \u201cgood\u201d performance turns out to be interesting and forces us to address questions about what we want confidence intervals to do.\u003C\/p\u003E\u003Cp\u003E\u0026nbsp;\u003C\/p\u003E","summary":null,"format":"limited_html"}],"field_subtitle":"","field_summary":"","field_summary_sentence":[{"value":"Statistics Seminar - Gary Lorden"}],"uid":"27187","created_gmt":"2015-11-13 11:55:59","changed_gmt":"2017-04-13 21:17:39","author":"Anita Race","boilerplate_text":"","field_publication":"","field_article_url":"","field_event_time":{"event_time_start":"2015-11-19T15:00:00-05:00","event_time_end":"2015-11-19T15:00:00-05:00","event_time_end_last":"2015-11-19T15:00:00-05:00","gmt_time_start":"2015-11-19 20:00:00","gmt_time_end":"2015-11-19 20:00:00","gmt_time_end_last":"2015-11-19 20:00:00","rrule":null,"timezone":"America\/New_York"},"extras":[],"groups":[{"id":"1242","name":"School of Industrial and Systems Engineering (ISYE)"}],"categories":[],"keywords":[],"core_research_areas":[],"news_room_topics":[],"event_categories":[{"id":"1795","name":"Seminar\/Lecture\/Colloquium"}],"invited_audience":[{"id":"78751","name":"Undergraduate students"},{"id":"78761","name":"Faculty\/Staff"},{"id":"174045","name":"Graduate students"}],"affiliations":[],"classification":[],"areas_of_expertise":[],"news_and_recent_appearances":[],"phone":[],"contact":[],"email":[],"slides":[],"orientation":[],"userdata":""}}}