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Test takers have to choose one response per column. Data sufficiency is a question type unique to the GMAT designed to measure the ability to understand and analyze a quantitative problem, recognize what information is relevant or irrelevant and determine at what point there is enough information to solve a problem or recognize the fact that ...
The Common Admission Test (CAT) [1] is a computer based test for admission in graduate management programs. The test consists of three sections: Verbal Ability and Reading Comprehension, Data Interpretation and Logical Reasoning, and Quantitative Ability.
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Optical answer sheets usually have a set of blank ovals or boxes that correspond to each question, often on separate sheets of paper. Bar codes may mark the sheet for automatic processing, and each series of ovals filled will return a certain value when read. In this way students' answers can be digitally recorded, or identity given.
Template:Resolved/See also, the smaller family of thread-level hatnote templates, similar to the above but with a box around them; any template above can be converted to one of those with {} Template:Table cell templates/doc, the family of table-specific templates that work only in tables; Category:Image with comment templates
material safety data sheet, waybill, bill of lading, financial statement, nondisclosure agreement (NDA), mutual nondisclosure agreement, and user guide; Geography and planning: topographic map, cadastre, legend, and architectural plan; Such standard documents can be drafted based on a template.
This template is used in the "See also" sections of the documentation pages of each of the templates it lists, to make maintenance easier. It has no function in articlespace. === See also === {{ Quotation mark templates }}
Calculation of "normalized marks" for subjects held in multiple sessions (CE, CS, EC, EE and ME): Graph showing the linear relationship between "actual marks" and "normalized marks" of a candidate, in a multiple-session subject (CE, CS, EC, EE and ME) of GATE. M g t = average marks of top 0.1 % candidates in all sessions of that subject.
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