{"id":2122,"date":"2015-11-12T18:30:41","date_gmt":"2015-11-12T18:30:41","guid":{"rendered":"https:\/\/courses.candelalearning.com\/collegealgebra1xmaster\/?post_type=chapter&#038;p=2122"},"modified":"2015-11-12T18:30:41","modified_gmt":"2015-11-12T18:30:41","slug":"computing-the-probability-of-mutually-exclusive-events","status":"publish","type":"chapter","link":"https:\/\/courses.lumenlearning.com\/ivytech-collegealgebra\/chapter\/computing-the-probability-of-mutually-exclusive-events\/","title":{"raw":"Computing the Probability of Mutually Exclusive Events","rendered":"Computing the Probability of Mutually Exclusive Events"},"content":{"raw":"<p>Suppose the spinner in Figure 2\u00a0is spun again, but this time we are interested in the probability of spinning an orange or a [latex]d[\/latex]. There are no sectors that are both orange and contain a [latex]d[\/latex], so these two events have no outcomes in common. Events are said to be <span data-type=\"term\">mutually exclusive events<\/span> when they have no outcomes in common. Because there is no overlap, there is nothing to subtract, so the general formula is\n<\/p><div style=\"text-align: center;\">[latex]P\\left(E\\cup F\\right)=P\\left(E\\right)+P\\left(F\\right)[\/latex]<\/div>\nNotice that with mutually exclusive events, the intersection of [latex]E[\/latex] and [latex]F[\/latex] is the empty set. The probability of spinning an orange is [latex]\\frac{3}{6}=\\frac{1}{2}[\/latex] and the probability of spinning a [latex]d[\/latex] is [latex]\\frac{1}{6}[\/latex]. We can find the probability of spinning an orange or a [latex]d[\/latex] simply by adding the two probabilities.\n<div style=\"text-align: center;\">[latex]\\begin{array}{l}P\\left(E{\\cup }^{\\text{ }}F\\right)=P\\left(E\\right)+P\\left(F\\right)\\hfill \\\\ \\text{ }=\\frac{1}{2}+\\frac{1}{6}\\hfill \\\\ \\text{ }=\\frac{2}{3}\\hfill \\end{array}[\/latex]<\/div>\nThe probability of spinning an orange or a [latex]d[\/latex] is [latex]\\frac{2}{3}[\/latex].\n<div class=\"textbox\">\n<h3>A General Note: Probability of the Union of Mutually Exclusive Events<\/h3>\nThe probability of the union of two <em>mutually exclusive<\/em> events [latex]E\\text{and}F[\/latex] is given by\n<div style=\"text-align: center;\">[latex]P\\left(E\\cup F\\right)=P\\left(E\\right)+P\\left(F\\right)[\/latex]<\/div>\n<\/div>\n<div class=\"textbox\">\n<h3>How To: Given a set of events, compute the probability of the union of mutually exclusive events.<\/h3>\n<ol><li>Determine the total number of outcomes for the first event.<\/li>\n\t<li>Find the probability of the first event.<\/li>\n\t<li>Determine the total number of outcomes for the second event.<\/li>\n\t<li>Find the probability of the second event.<\/li>\n\t<li>Add the probabilities.<\/li>\n<\/ol><\/div>\n<div class=\"textbox shaded\">\n<h3>Example 4: Computing the Probability of the Union of Mutually Exclusive Events<\/h3>\nA card is drawn from a standard deck. Find the probability of drawing a heart or a spade.\n\n<\/div>\n<div class=\"textbox shaded\">\n<h3>Solution<\/h3>\nThe events \"drawing a heart\" and \"drawing a spade\" are mutually exclusive because they cannot occur at the same time. The probability of drawing a heart is [latex]\\frac{1}{4}[\/latex], and the probability of drawing a spade is also [latex]\\frac{1}{4}[\/latex], so the probability of drawing a heart or a spade is\n<div style=\"text-align: center;\">[latex]\\frac{1}{4}+\\frac{1}{4}=\\frac{1}{2}[\/latex]<\/div>\n<\/div>\n<div class=\"bcc-box bcc-success\">\n<h3>Try It 4<\/h3>\nA card is drawn from a standard deck. Find the probability of drawing an ace or a king.\n\n<a href=\"https:\/\/courses.candelalearning.com\/precalctwo1xmaster\/chapter\/solutions-34\/\" target=\"_blank\">Solution<\/a>\n\n<\/div>","rendered":"<p>Suppose the spinner in Figure 2\u00a0is spun again, but this time we are interested in the probability of spinning an orange or a [latex]d[\/latex]. There are no sectors that are both orange and contain a [latex]d[\/latex], so these two events have no outcomes in common. Events are said to be <span data-type=\"term\">mutually exclusive events<\/span> when they have no outcomes in common. Because there is no overlap, there is nothing to subtract, so the general formula is\n<\/p>\n<div style=\"text-align: center;\">[latex]P\\left(E\\cup F\\right)=P\\left(E\\right)+P\\left(F\\right)[\/latex]<\/div>\n<p>Notice that with mutually exclusive events, the intersection of [latex]E[\/latex] and [latex]F[\/latex] is the empty set. The probability of spinning an orange is [latex]\\frac{3}{6}=\\frac{1}{2}[\/latex] and the probability of spinning a [latex]d[\/latex] is [latex]\\frac{1}{6}[\/latex]. We can find the probability of spinning an orange or a [latex]d[\/latex] simply by adding the two probabilities.<\/p>\n<div style=\"text-align: center;\">[latex]\\begin{array}{l}P\\left(E{\\cup }^{\\text{ }}F\\right)=P\\left(E\\right)+P\\left(F\\right)\\hfill \\\\ \\text{ }=\\frac{1}{2}+\\frac{1}{6}\\hfill \\\\ \\text{ }=\\frac{2}{3}\\hfill \\end{array}[\/latex]<\/div>\n<p>The probability of spinning an orange or a [latex]d[\/latex] is [latex]\\frac{2}{3}[\/latex].<\/p>\n<div class=\"textbox\">\n<h3>A General Note: Probability of the Union of Mutually Exclusive Events<\/h3>\n<p>The probability of the union of two <em>mutually exclusive<\/em> events [latex]E\\text{and}F[\/latex] is given by<\/p>\n<div style=\"text-align: center;\">[latex]P\\left(E\\cup F\\right)=P\\left(E\\right)+P\\left(F\\right)[\/latex]<\/div>\n<\/div>\n<div class=\"textbox\">\n<h3>How To: Given a set of events, compute the probability of the union of mutually exclusive events.<\/h3>\n<ol>\n<li>Determine the total number of outcomes for the first event.<\/li>\n<li>Find the probability of the first event.<\/li>\n<li>Determine the total number of outcomes for the second event.<\/li>\n<li>Find the probability of the second event.<\/li>\n<li>Add the probabilities.<\/li>\n<\/ol>\n<\/div>\n<div class=\"textbox shaded\">\n<h3>Example 4: Computing the Probability of the Union of Mutually Exclusive Events<\/h3>\n<p>A card is drawn from a standard deck. Find the probability of drawing a heart or a spade.<\/p>\n<\/div>\n<div class=\"textbox shaded\">\n<h3>Solution<\/h3>\n<p>The events &#8220;drawing a heart&#8221; and &#8220;drawing a spade&#8221; are mutually exclusive because they cannot occur at the same time. The probability of drawing a heart is [latex]\\frac{1}{4}[\/latex], and the probability of drawing a spade is also [latex]\\frac{1}{4}[\/latex], so the probability of drawing a heart or a spade is<\/p>\n<div style=\"text-align: center;\">[latex]\\frac{1}{4}+\\frac{1}{4}=\\frac{1}{2}[\/latex]<\/div>\n<\/div>\n<div class=\"bcc-box bcc-success\">\n<h3>Try It 4<\/h3>\n<p>A card is drawn from a standard deck. Find the probability of drawing an ace or a king.<\/p>\n<p><a href=\"https:\/\/courses.candelalearning.com\/precalctwo1xmaster\/chapter\/solutions-34\/\" target=\"_blank\">Solution<\/a><\/p>\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-2122\">\n\t\t\t\t\t\t\t <div class=\"licensing\"><div class=\"license-attribution-dropdown-subheading\">CC licensed content, Specific attribution<\/div><ul class=\"citation-list\"><li>Precalculus. <strong>Authored by<\/strong>: OpenStax College. <strong>Provided by<\/strong>: OpenStax. <strong>Located at<\/strong>: <a target=\"_blank\" href=\"http:\/\/cnx.org\/contents\/fd53eae1-fa23-47c7-bb1b-972349835c3c@5.175:1\/Preface\">http:\/\/cnx.org\/contents\/fd53eae1-fa23-47c7-bb1b-972349835c3c@5.175:1\/Preface<\/a>. <strong>License<\/strong>: <em><a target=\"_blank\" rel=\"license\" href=\"https:\/\/creativecommons.org\/licenses\/by\/4.0\/\">CC BY: Attribution<\/a><\/em><\/li><\/ul><\/div>\n\t\t\t\t\t\t <\/div>\n\t\t\t\t\t <\/div>\n\t\t\t <\/section>","protected":false},"author":276,"menu_order":4,"template":"","meta":{"_candela_citation":"[{\"type\":\"cc-attribution\",\"description\":\"Precalculus\",\"author\":\"OpenStax College\",\"organization\":\"OpenStax\",\"url\":\"http:\/\/cnx.org\/contents\/fd53eae1-fa23-47c7-bb1b-972349835c3c@5.175:1\/Preface\",\"project\":\"\",\"license\":\"cc-by\",\"license_terms\":\"\"}]","CANDELA_OUTCOMES_GUID":"","pb_show_title":"on","pb_short_title":"","pb_subtitle":"","pb_authors":[],"pb_section_license":""},"chapter-type":[],"contributor":[],"license":[],"class_list":["post-2122","chapter","type-chapter","status-publish","hentry"],"part":2116,"_links":{"self":[{"href":"https:\/\/courses.lumenlearning.com\/ivytech-collegealgebra\/wp-json\/pressbooks\/v2\/chapters\/2122","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/courses.lumenlearning.com\/ivytech-collegealgebra\/wp-json\/pressbooks\/v2\/chapters"}],"about":[{"href":"https:\/\/courses.lumenlearning.com\/ivytech-collegealgebra\/wp-json\/wp\/v2\/types\/chapter"}],"author":[{"embeddable":true,"href":"https:\/\/courses.lumenlearning.com\/ivytech-collegealgebra\/wp-json\/wp\/v2\/users\/276"}],"version-history":[{"count":1,"href":"https:\/\/courses.lumenlearning.com\/ivytech-collegealgebra\/wp-json\/pressbooks\/v2\/chapters\/2122\/revisions"}],"predecessor-version":[{"id":2130,"href":"https:\/\/courses.lumenlearning.com\/ivytech-collegealgebra\/wp-json\/pressbooks\/v2\/chapters\/2122\/revisions\/2130"}],"part":[{"href":"https:\/\/courses.lumenlearning.com\/ivytech-collegealgebra\/wp-json\/pressbooks\/v2\/parts\/2116"}],"metadata":[{"href":"https:\/\/courses.lumenlearning.com\/ivytech-collegealgebra\/wp-json\/pressbooks\/v2\/chapters\/2122\/metadata\/"}],"wp:attachment":[{"href":"https:\/\/courses.lumenlearning.com\/ivytech-collegealgebra\/wp-json\/wp\/v2\/media?parent=2122"}],"wp:term":[{"taxonomy":"chapter-type","embeddable":true,"href":"https:\/\/courses.lumenlearning.com\/ivytech-collegealgebra\/wp-json\/pressbooks\/v2\/chapter-type?post=2122"},{"taxonomy":"contributor","embeddable":true,"href":"https:\/\/courses.lumenlearning.com\/ivytech-collegealgebra\/wp-json\/wp\/v2\/contributor?post=2122"},{"taxonomy":"license","embeddable":true,"href":"https:\/\/courses.lumenlearning.com\/ivytech-collegealgebra\/wp-json\/wp\/v2\/license?post=2122"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}