{"id":520,"date":"2023-02-27T17:32:38","date_gmt":"2023-02-27T17:32:38","guid":{"rendered":"https:\/\/content.one.lumenlearning.com\/introstatstest\/?post_type=chapter&#038;p=520"},"modified":"2025-08-31T10:44:03","modified_gmt":"2025-08-31T10:44:03","slug":"sampling-methods-and-bias-apply-it-4","status":"publish","type":"chapter","link":"https:\/\/content.one.lumenlearning.com\/introstatstest\/chapter\/sampling-methods-and-bias-apply-it-4\/","title":{"raw":"Sampling Methods and Bias: Apply It 2","rendered":"Sampling Methods and Bias: Apply It 2"},"content":{"raw":"<h2>A Portrait of Diversity: Exploring Student Demographics<\/h2>\r\n\r\n[caption id=\"\" align=\"aligncenter\" width=\"407\"]<img class=\"\" src=\"https:\/\/s3-us-west-2.amazonaws.com\/courses-images\/wp-content\/uploads\/sites\/5738\/2022\/01\/12001948\/Picture76-300x200.jpg\" alt=\"A group of young people smiling for a picture\" width=\"407\" height=\"271\" \/> Figure 1. Real-world questions\u2014like those about student diversity\u2014require thoughtful sampling to ensure accurate, meaningful results.[\/caption]\r\n\r\n<section class=\"textbox tryIt\">[ohm2_question hide_question_numbers=1]688[\/ohm2_question]<\/section>\r\n<p>Random samples will eliminate bias, even bias that may be hidden or unknown. However, we need to be aware of the potential sources of bias that will prevent us from appropriately generalizing sample results to the population.<\/p>\r\n<section class=\"textbox tryIt\">[ohm2_question hide_question_numbers=1]689[\/ohm2_question]<\/section>","rendered":"<h2>A Portrait of Diversity: Exploring Student Demographics<\/h2>\n<figure style=\"width: 407px\" class=\"wp-caption aligncenter\"><img loading=\"lazy\" decoding=\"async\" class=\"\" src=\"https:\/\/s3-us-west-2.amazonaws.com\/courses-images\/wp-content\/uploads\/sites\/5738\/2022\/01\/12001948\/Picture76-300x200.jpg\" alt=\"A group of young people smiling for a picture\" width=\"407\" height=\"271\" \/><figcaption class=\"wp-caption-text\">Figure 1. Real-world questions\u2014like those about student diversity\u2014require thoughtful sampling to ensure accurate, meaningful results.<\/figcaption><\/figure>\n<section class=\"textbox tryIt\"><iframe loading=\"lazy\" id=\"ohm688\" class=\"resizable\" src=\"https:\/\/ohm.one.lumenlearning.com\/multiembedq.php?id=688&theme=lumen&iframe_resize_id=ohm688&source=tnh\" width=\"100%\" height=\"150\"><\/iframe><\/section>\n<p>Random samples will eliminate bias, even bias that may be hidden or unknown. 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