{"id":1025,"date":"2023-06-22T01:45:09","date_gmt":"2023-06-22T01:45:09","guid":{"rendered":"https:\/\/content.one.lumenlearning.com\/introstatstest\/chapter\/discrete-probability-distributions-learn-it-1\/"},"modified":"2025-06-03T16:57:09","modified_gmt":"2025-06-03T16:57:09","slug":"discrete-probability-distributions-learn-it-1","status":"publish","type":"chapter","link":"https:\/\/content.one.lumenlearning.com\/introstatstest\/chapter\/discrete-probability-distributions-learn-it-1\/","title":{"raw":"Discrete Probability Distributions: Learn It 1","rendered":"Discrete Probability Distributions: Learn It 1"},"content":{"raw":"<section class=\"textbox learningGoals\">\r\n<ul>\r\n\t<li>Create a discrete probability distribution and use it to find probabilities<\/li>\r\n\t<li>Determine if probability models meet the conditions for a discrete probability model<\/li>\r\n<\/ul>\r\n<\/section>\r\n<h2>Discrete Probability Distribution<\/h2>\r\n<p>The variable [latex]X[\/latex] is classified as a <strong>discrete random variable<\/strong> if it takes a fixed set of possible numerical values and it is not possible to get any value in between.<\/p>\r\n<section class=\"textbox keyTakeaway\">\r\n<h3>discrete probability distribution<\/h3>\r\n<p>The <strong>probability distribution <\/strong>of a discrete random variable describes all possible values of the random variable, as well as the probability associated with each value.<\/p>\r\n<p>A <strong>discrete probability distribution<\/strong> is often presented in a table or graph.<\/p>\r\n<\/section>\r\n<section class=\"textbox tryIt\">[ohm2_question hide_question_numbers=1]1472[\/ohm2_question]<\/section>\r\n<p>Discrete probability distributions can be represented as a bar graph as well. The bar graph should include all of the possible outcomes of the discrete variable and the probability associated with each outcome.<\/p>\r\n<section class=\"textbox tryIt\">[ohm2_question hide_question_numbers=1]1474[\/ohm2_question]<\/section>","rendered":"<section class=\"textbox learningGoals\">\n<ul>\n<li>Create a discrete probability distribution and use it to find probabilities<\/li>\n<li>Determine if probability models meet the conditions for a discrete probability model<\/li>\n<\/ul>\n<\/section>\n<h2>Discrete Probability Distribution<\/h2>\n<p>The variable [latex]X[\/latex] is classified as a <strong>discrete random variable<\/strong> if it takes a fixed set of possible numerical values and it is not possible to get any value in between.<\/p>\n<section class=\"textbox keyTakeaway\">\n<h3>discrete probability distribution<\/h3>\n<p>The <strong>probability distribution <\/strong>of a discrete random variable describes all possible values of the random variable, as well as the probability associated with each value.<\/p>\n<p>A <strong>discrete probability distribution<\/strong> is often presented in a table or graph.<\/p>\n<\/section>\n<section class=\"textbox tryIt\"><iframe loading=\"lazy\" id=\"ohm1472\" class=\"resizable\" src=\"https:\/\/ohm.one.lumenlearning.com\/multiembedq.php?id=1472&theme=lumen&iframe_resize_id=ohm1472&source=tnh\" width=\"100%\" height=\"150\"><\/iframe><\/section>\n<p>Discrete probability distributions can be represented as a bar graph as well. The bar graph should include all of the possible outcomes of the discrete variable and the probability associated with each outcome.<\/p>\n<section class=\"textbox tryIt\"><iframe loading=\"lazy\" id=\"ohm1474\" class=\"resizable\" src=\"https:\/\/ohm.one.lumenlearning.com\/multiembedq.php?id=1474&theme=lumen&iframe_resize_id=ohm1474&source=tnh\" width=\"100%\" height=\"150\"><\/iframe><\/section>\n","protected":false},"author":8,"menu_order":6,"template":"","meta":{"_candela_citation":"[]","pb_show_title":"on","pb_short_title":"","pb_subtitle":"","pb_authors":[],"pb_section_license":""},"chapter-type":[],"contributor":[],"license":[],"part":2912,"module-header":"learn_it","content_attributions":[],"internal_book_links":[],"video_content":null,"cc_video_embed_content":{"cc_scripts":"","media_targets":[]},"try_it_collection":null,"_links":{"self":[{"href":"https:\/\/content.one.lumenlearning.com\/introstatstest\/wp-json\/pressbooks\/v2\/chapters\/1025"}],"collection":[{"href":"https:\/\/content.one.lumenlearning.com\/introstatstest\/wp-json\/pressbooks\/v2\/chapters"}],"about":[{"href":"https:\/\/content.one.lumenlearning.com\/introstatstest\/wp-json\/wp\/v2\/types\/chapter"}],"author":[{"embeddable":true,"href":"https:\/\/content.one.lumenlearning.com\/introstatstest\/wp-json\/wp\/v2\/users\/8"}],"version-history":[{"count":6,"href":"https:\/\/content.one.lumenlearning.com\/introstatstest\/wp-json\/pressbooks\/v2\/chapters\/1025\/revisions"}],"predecessor-version":[{"id":7146,"href":"https:\/\/content.one.lumenlearning.com\/introstatstest\/wp-json\/pressbooks\/v2\/chapters\/1025\/revisions\/7146"}],"part":[{"href":"https:\/\/content.one.lumenlearning.com\/introstatstest\/wp-json\/pressbooks\/v2\/parts\/2912"}],"metadata":[{"href":"https:\/\/content.one.lumenlearning.com\/introstatstest\/wp-json\/pressbooks\/v2\/chapters\/1025\/metadata\/"}],"wp:attachment":[{"href":"https:\/\/content.one.lumenlearning.com\/introstatstest\/wp-json\/wp\/v2\/media?parent=1025"}],"wp:term":[{"taxonomy":"chapter-type","embeddable":true,"href":"https:\/\/content.one.lumenlearning.com\/introstatstest\/wp-json\/pressbooks\/v2\/chapter-type?post=1025"},{"taxonomy":"contributor","embeddable":true,"href":"https:\/\/content.one.lumenlearning.com\/introstatstest\/wp-json\/wp\/v2\/contributor?post=1025"},{"taxonomy":"license","embeddable":true,"href":"https:\/\/content.one.lumenlearning.com\/introstatstest\/wp-json\/wp\/v2\/license?post=1025"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}