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Example of a spreadsheet holding data about a group of audio tracks. A spreadsheet is a computer application for computation, organization, analysis and storage of data in tabular form. [1] [2] [3] Spreadsheets were developed as computerized analogs of paper accounting worksheets. [4] The program operates on data entered in cells of a table.
Microsoft Excel is a spreadsheet editor developed by Microsoft for Windows, macOS, Android, iOS and iPadOS.It features calculation or computation capabilities, graphing tools, pivot tables, and a macro programming language called Visual Basic for Applications (VBA).
This is an accepted version of this page This is the latest accepted revision, reviewed on 13 January 2025. Educational assessment For other uses, see Exam (disambiguation) and Examination (disambiguation). Cambodian students taking an exam in order to apply for the Don Bosco Technical School of Sihanoukville in 2008 American students in a computer fundamentals class taking an online test in ...
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In this method, the score is reduced by the number of wrong answers divided by the average number of possible answers for all questions in the test, w/(c – 1) where w is the number of wrong responses on the test and c is the average number of possible choices for all questions on the test. [10] All exams scored with the three-parameter model ...
The IGCSE exam is widely used in international schools. Students in Hong Kong can take the Cambridge exam board as well as the Edexcel exam board, either at their school or registering through the Hong Kong Examinations and Assessment Authority (HKEAA) as individual candidates. [17]
Course Hero was founded by Andrew Grauer at Cornell University in 2006 for college students to share lectures, class notes, exams and assignments. [4] In November 2014, the company raised $15 million in Series A Funding, with investors that included GSV Capital and IDG Capital. Seed investors SV Angel and Maveron also participated. [5]
A training data set is a data set of examples used during the learning process and is used to fit the parameters (e.g., weights) of, for example, a classifier. [9] [10]For classification tasks, a supervised learning algorithm looks at the training data set to determine, or learn, the optimal combinations of variables that will generate a good predictive model. [11]