{"id":4330,"date":"2023-06-08T03:31:34","date_gmt":"2023-06-08T03:31:34","guid":{"rendered":"https:\/\/content.one.lumenlearning.com\/quantitativereasoning\/?post_type=chapter&#038;p=4330"},"modified":"2024-10-18T20:50:14","modified_gmt":"2024-10-18T20:50:14","slug":"logic-basics-apply-it-2","status":"web-only","type":"chapter","link":"https:\/\/content.one.lumenlearning.com\/quantitativereasoning\/chapter\/logic-basics-apply-it-2\/","title":{"raw":"Logic Basics: Apply It 2","rendered":"Logic Basics: Apply It 2"},"content":{"raw":"<h2>The Mystery of the Stolen Artifact Cont.<\/h2>\r\nConstructing a truth table allows us to systematically evaluate the logical expressions for different combinations of truth values. Based on the expressions we just created, fill in the truth table below to represent all possible combinations of truth values for the variables involved.\r\n\r\n<section class=\"textbox tryIt\">[ohm2_question hide_question_numbers=1]9032[\/ohm2_question]<\/section>By constructing this truth table, we can examine the logical relationships and implications between the witness statements more systematically and gain a deeper understanding of the logical consequences.\r\n\r\n<section class=\"textbox tryIt\">[ohm2_question hide_question_numbers=1]9033[\/ohm2_question]<\/section>Great work today! Through the careful application of logical reasoning and Boolean logic, we've navigated through the various clues and witness statements to begin unraveling the mystery of the stolen artifact. Our methodical approach, including constructing truth tables and assessing logical equivalence, allowed us to eliminate contradictions and narrow down the possibilities. As a result, we're now much closer to finding the truth behind the artifact's disappearance!","rendered":"<h2>The Mystery of the Stolen Artifact Cont.<\/h2>\n<p>Constructing a truth table allows us to systematically evaluate the logical expressions for different combinations of truth values. Based on the expressions we just created, fill in the truth table below to represent all possible combinations of truth values for the variables involved.<\/p>\n<section class=\"textbox tryIt\"><iframe loading=\"lazy\" id=\"ohm9032\" class=\"resizable\" src=\"https:\/\/ohm.one.lumenlearning.com\/multiembedq.php?id=9032&theme=lumen&iframe_resize_id=ohm9032&source=tnh\" width=\"100%\" height=\"150\"><\/iframe><\/section>\n<p>By constructing this truth table, we can examine the logical relationships and implications between the witness statements more systematically and gain a deeper understanding of the logical consequences.<\/p>\n<section class=\"textbox tryIt\"><iframe loading=\"lazy\" id=\"ohm9033\" class=\"resizable\" src=\"https:\/\/ohm.one.lumenlearning.com\/multiembedq.php?id=9033&theme=lumen&iframe_resize_id=ohm9033&source=tnh\" width=\"100%\" height=\"150\"><\/iframe><\/section>\n<p>Great work today! Through the careful application of logical reasoning and Boolean logic, we&#8217;ve navigated through the various clues and witness statements to begin unraveling the mystery of the stolen artifact. Our methodical approach, including constructing truth tables and assessing logical equivalence, allowed us to eliminate contradictions and narrow down the possibilities. As a result, we&#8217;re now much closer to finding the truth behind the artifact&#8217;s disappearance!<\/p>\n","protected":false},"author":23,"menu_order":17,"template":"","meta":{"_candela_citation":"[]","pb_show_title":"on","pb_short_title":"","pb_subtitle":"","pb_authors":[],"pb_section_license":""},"chapter-type":[],"contributor":[],"license":[],"part":24,"module-header":"apply_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\/quantitativereasoning\/wp-json\/pressbooks\/v2\/chapters\/4330"}],"collection":[{"href":"https:\/\/content.one.lumenlearning.com\/quantitativereasoning\/wp-json\/pressbooks\/v2\/chapters"}],"about":[{"href":"https:\/\/content.one.lumenlearning.com\/quantitativereasoning\/wp-json\/wp\/v2\/types\/chapter"}],"author":[{"embeddable":true,"href":"https:\/\/content.one.lumenlearning.com\/quantitativereasoning\/wp-json\/wp\/v2\/users\/23"}],"version-history":[{"count":7,"href":"https:\/\/content.one.lumenlearning.com\/quantitativereasoning\/wp-json\/pressbooks\/v2\/chapters\/4330\/revisions"}],"predecessor-version":[{"id":7548,"href":"https:\/\/content.one.lumenlearning.com\/quantitativereasoning\/wp-json\/pressbooks\/v2\/chapters\/4330\/revisions\/7548"}],"part":[{"href":"https:\/\/content.one.lumenlearning.com\/quantitativereasoning\/wp-json\/pressbooks\/v2\/parts\/24"}],"metadata":[{"href":"https:\/\/content.one.lumenlearning.com\/quantitativereasoning\/wp-json\/pressbooks\/v2\/chapters\/4330\/metadata\/"}],"wp:attachment":[{"href":"https:\/\/content.one.lumenlearning.com\/quantitativereasoning\/wp-json\/wp\/v2\/media?parent=4330"}],"wp:term":[{"taxonomy":"chapter-type","embeddable":true,"href":"https:\/\/content.one.lumenlearning.com\/quantitativereasoning\/wp-json\/pressbooks\/v2\/chapter-type?post=4330"},{"taxonomy":"contributor","embeddable":true,"href":"https:\/\/content.one.lumenlearning.com\/quantitativereasoning\/wp-json\/wp\/v2\/contributor?post=4330"},{"taxonomy":"license","embeddable":true,"href":"https:\/\/content.one.lumenlearning.com\/quantitativereasoning\/wp-json\/wp\/v2\/license?post=4330"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}