{"id":"cb_question_bank:98a6ac09-f8f0-43af-970b-c7ca1494e85e","source_id":"cb_question_bank","source_item_id":"98a6ac09-f8f0-43af-970b-c7ca1494e85e","external_id":"85282a60-2899-43df-bd0e-0b5cedc801ee","ibn":null,"question_id":"5d453dcc","program":"SAT","module":"english","domain_code":"INI","domain":"Information and Ideas","skill_code":"COE","skill":"Command of Evidence","difficulty":"M","score_band":5,"answer_type":"mcq","answer_source":"key","layout_warning":null,"form_id":null,"module_number":null,"position":null,"stem":"Which choice best describes data in the graph that support Charles and Stephens’s claim?","stimulus":"For each data category, the following bars are shown: low information high information The data for the 7 categories are as follows: 1: low information: 78% high information: 92% 2: low information: 62% high information: 85% 3: low information: 57% high information: 86% 4: low information: 47% high information: 80% 5: low information: 62% high information: 87.5% 6: low information: 69% high information: 88% 7: low information: 81.5% high information: 94% Economists Kerwin Kofi Charles and Melvin Stephens Jr. investigated a variety of factors that influence voter turnout in the United States. Using survey data that revealed whether respondents voted in national elections and how knowledgeable respondents are about politics, Charles and Stephens claim that the likelihood of voting is driven in part by potential voters’ confidence in their assessments of candidates—essentially, the more informed voters are about politics, the more confident they are at evaluating whether candidates share their views, and thus the more likely they are to vote.","stimulus_html":"<figure class=\"image\"><svg height=\"520.8399999999999\" viewBox=\"0 0 400 520.8399999999999\" width=\"400\" xmlns=\"http://www.w3.org/2000/svg\"><g id=\"ed420550-79eb-48d4-af01-cd27cdd08afd\"><defs>\n<pattern id=\"bar4\">\n<rect fill=\"#CDCDCD\" height=\"100\" width=\"5\" x=\"0\" y=\"0\"></rect>\n<rect fill=\"#444444\" height=\"100\" width=\"5\" x=\"5\" y=\"0\"></rect>\n</pattern>\n</defs><line stroke=\"#000000\" stroke-width=\"0.9\" x1=\"87.3203125\" x2=\"385\" y1=\"96\" y2=\"96\"></line><line stroke=\"#000000\" 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fill=\"#000000\" font-family=\"Crimson Text\" font-size=\"19.84\" text-anchor=\"top\" transform=\"translate(149.3359375 462.84000000000003)\"> low information</text><rect fill=\"#333333\" height=\"12\" stroke=\"#000000\" stroke-width=\"0.9\" width=\"12\" x=\"127.3359375\" y=\"482.84000000000003\"></rect><text fill=\"#000000\" font-family=\"Crimson Text\" font-size=\"19.84\" text-anchor=\"top\" transform=\"translate(149.3359375 494.84000000000003)\"> high information</text></g></svg></figure><div class=\"sr-only\"><ul>\n<li>For each data category, the following bars are shown:\n<ul>\n<li>low information</li>\n<li>high information</li>\n</ul>\n</li>\n<li>The data for the 7 categories are as follows:\n<ul>\n<li>1:\n<ul>\n<li>low information: 78%</li>\n<li>high information: 92%</li>\n</ul>\n</li>\n<li>2:\n<ul>\n<li>low information: 62%</li>\n<li>high information: 85%</li>\n</ul>\n</li>\n<li>3:\n<ul>\n<li>low information: 57%</li>\n<li>high information: 86%</li>\n</ul>\n</li>\n<li>4:\n<ul>\n<li>low information: 47%</li>\n<li>high information: 80%</li>\n</ul>\n</li>\n<li>5:\n<ul>\n<li>low information: 62%</li>\n<li>high information: 87.5%</li>\n</ul>\n</li>\n<li>6:\n<ul>\n<li>low information: 69%</li>\n<li>high information: 88%</li>\n</ul>\n</li>\n<li>7:\n<ul>\n<li>low information: 81.5%</li>\n<li>high information: 94%</li>\n</ul>\n</li>\n</ul>\n</li>\n</ul></div>\n<p>Economists Kerwin Kofi Charles and Melvin Stephens Jr. investigated a variety of factors that influence voter turnout in the United States. Using survey data that revealed whether respondents voted in national elections and how knowledgeable respondents are about politics, Charles and Stephens claim that the likelihood of voting is driven in part by potential voters’ confidence in their assessments of candidates—essentially, the more informed voters are about politics, the more confident they are at evaluating whether candidates share their views, and thus the more likely they are to vote. </p>","stem_html":"<p>Which choice best describes data in the graph that support Charles and Stephens’s claim?</p>","rationale_html":"<p>Choice A is the best answer because it uses data from the graph to effectively support Charles and Stephens’s claim about how level of information affects voters. The graph shows the probability of voting for both high- and low-information voters in seven categories of political orientation. Charles and Stephens claim that “the more informed voters are about politics…the more likely they are to vote.” This statement correctly asserts that the graph shows a higher probability of voting for high-information voters than for low-information voters at each of the seven political orientations. Thus, this statement accurately cites data from the graph that support Charles and Stephens’s claim about how level of information affects voters. </p><p>Choice B is incorrect. Although this statement is correct that the only probability in the graph below 50% is for low-information voters categorized as independent (orientation 4), the claim in question is about the relative likelihood that low- and high-information voters will vote, and without some reference to high-information voters, this statement cannot help support such a comparison. Choice C is incorrect. Although this statement is correct that the highest probabilities of voting for low-information voters are at the ends of the orientation scale (1 and 7), the claim in question is about the relative likelihood that low- and high-information voters will vote, and without some reference to high-information voters, this statement cannot help support such a comparison. Choice D is incorrect because the graph does not give any information about how many people are represented in any of the categories, so this statement is not based on data from the graph. Furthermore, even if we did have this information, the claim is about how level of information affects voters’ probability of voting, not whether they’re likely to strongly identify with a particular political party. </p>","correct_answer":["A"],"has_media":true,"has_mathml":false,"has_table":false,"source_created_at":"2023-08-02T20:25:59.337000+00:00","source_updated_at":"2023-08-02T20:25:59.337000+00:00","options":[{"label":"A","content_html":"<p>At each point on the political orientation scale, high-information voters were more likely than low-information voters to vote.&nbsp;</p>","ord":0},{"label":"B","content_html":"<p>Only low-information voters who identify as independents had a voting probability below 50%.&nbsp;</p>","ord":1},{"label":"C","content_html":"<p>The closer that low-information voters are to the ends of the political orientation scale, the more likely they were to vote.&nbsp;</p>","ord":2},{"label":"D","content_html":"<p>High-information voters were more likely to identify as strong Democrats or strong Republicans than low-information voters were.</p>","ord":3}],"attribution":{"source_id":"cb_question_bank","source_name":"College Board digital SAT question bank (community dump)","rights_holder":"College Board","canonical_url":"https://satsuitequestionbank.collegeboard.org/","retrieved_from":"https://raw.githubusercontent.com/mdn522/sat-question-bank/main/data/cb-digital-questions.json","attribution":"SAT practice questions © College Board, from the official SAT Suite Question Bank. Retrieved via the community dump at github.com/mdn522/sat-question-bank.","disclaimer":"SAT® and PSAT/NMSQT® are trademarks registered by the College Board, which is not affiliated with, does not sponsor, and does not endorse this project.","license":"College Board copyright; source repository carries no licence. Local use only.","redistributable":false,"item_count":2017}}