{"id":706,"date":"2017-04-15T06:08:03","date_gmt":"2017-04-15T06:08:03","guid":{"rendered":"https:\/\/courses.lumenlearning.com\/conceptstest1\/?post_type=chapter&#038;p=706"},"modified":"2017-05-31T00:24:13","modified_gmt":"2017-05-31T00:24:13","slug":"introduction-distribution-of-sample-proportions","status":"web-only","type":"chapter","link":"https:\/\/courses.lumenlearning.com\/suny-hccc-wm-concepts-statistics\/chapter\/introduction-distribution-of-sample-proportions\/","title":{"raw":"Introduction: Distribution of Sample Proportions","rendered":"Introduction: Distribution of Sample Proportions"},"content":{"raw":"<h2>What you'll learn to do: Describe the sampling distribution for sample proportions and use it to identify unusual (and more common) sample results.<\/h2>\r\n<div class=\"textbox learning-objectives\">\r\n<h3>LEARNING OBJECTIVES<\/h3>\r\n<ul>\r\n \t<li>Describe the sampling distribution for sample proportions and use it to identify unusual (and more common) sample results.<\/li>\r\n \t<li>Distinguish between a sample statistic and a population parameter.<\/li>\r\n \t<li>Use a z-score and the standard normal model to estimate probabilities of specified events.<\/li>\r\n<\/ul>\r\n<\/div>","rendered":"<h2>What you&#8217;ll learn to do: Describe the sampling distribution for sample proportions and use it to identify unusual (and more common) sample results.<\/h2>\n<div class=\"textbox learning-objectives\">\n<h3>LEARNING OBJECTIVES<\/h3>\n<ul>\n<li>Describe the sampling distribution for sample proportions and use it to identify unusual (and more common) sample results.<\/li>\n<li>Distinguish between a sample statistic and a population parameter.<\/li>\n<li>Use a z-score and the standard normal model to estimate probabilities of specified events.<\/li>\n<\/ul>\n<\/div>\n\n\t\t\t <section class=\"citations-section\" role=\"contentinfo\">\n\t\t\t <h3>Candela Citations<\/h3>\n\t\t\t\t\t <div>\n\t\t\t\t\t\t <div id=\"citation-list-706\">\n\t\t\t\t\t\t\t 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