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A typical DBQ is a packet of several original sources (anywhere from three to sixteen), labeled by letters (beginning with "Document A" or "Source A") or numbers. Usually all but one or two source(s) are textual, with the other source(s) being graphic (usually a political cartoon , map , or poster if primary and a chart or graph if secondary).
The DBQ accounts for 25% of the total exam score, and the LEQ is 15%. The essays are graded out of seven points and six points, respectively. Students are required to analyze and synthesize provided documents for the DBQ, but some outside information is still needed.
Section II is the free-response section, in which examinees write two essays. Section II, part A, is a document-based question (DBQ), which provides an essay prompt and seven short primary sources or excerpts related to the prompt. Students are expected to write an essay responding to the prompt in which they use the sources in addition to ...
The College Board advises that students choosing AP English Language and Composition be interested in studying and writing various kinds of analytic or persuasive essays on non-fiction topics, while students choosing AP English Literature and Composition be interested in studying literature of various periods and mediums (fiction, poetry, drama ...
Consider the modal account in terms of the argument given as an example above: All frogs are green. Kermit is a frog. Therefore, Kermit is green. The conclusion is a logical consequence of the premises because we can not imagine a possible world where (a) all frogs are green; (b) Kermit is a frog; and (c) Kermit is not green.
In the IRAC method of legal analysis, the "issue" is simply a legal question that must be answered. An issue arises when the facts of a case present a legal ambiguity that must be resolved in a case, and legal researchers (whether paralegals, law students, lawyers, or judges) typically resolve the issue by consulting legal precedent (existing statutes, past cases, court rules, etc.).
Statistical conclusion validity is the degree to which conclusions about the relationship among variables based on the data are correct or 'reasonable'. This began as being solely about whether the statistical conclusion about the relationship of the variables was correct, but now there is a movement towards moving to 'reasonable' conclusions ...
Naturalistic fallacy – inferring evaluative conclusions from purely factual premises [105] [106] in violation of fact-value distinction. Naturalistic fallacy (sometimes confused with appeal to nature) is the inverse of moralistic fallacy. Is–ought fallacy [107] – deduce a conclusion about what ought to be, on the basis of what is.