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  1. The Hong Kong Certificate of Education Examination (HKCEE, 香港中學會考) was a standardised examination between 1974 and 2011 after most local students' five-year secondary education, conducted by the Hong Kong Examinations and Assessment Authority (HKEAA), awarding the Hong Kong Certificate of Education secondary school leaving ...

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  2. Comparison of the various grading methods in a normal distribution, including: standard deviations, cumulative percentages, percentile equivalents, z-scores, T-scores In statistics, the standard score is the number of standard deviations by which the value of a raw score (i.e., an observed value or data point) is above or below the mean value of what is being observed or measured.

  3. Score distribution chart for sample of 905 children tested on 1916 Stanford–Binet Test IQ classification is the practice of categorizing human intelligence, as measured by intelligence quotient (IQ) tests, into categories such as "superior" or "average".[1][2][3][4] In the current IQ scoring method, an IQ score of 100 means that the test ...

  4. en.wikipedia.org › wiki › ISO_3166-1ISO 3166-1 - Wikipedia

    ISO 3166-1 ( Codes for the representation of names of countries and their subdivisions – Part 1: Country codes) is a standard defining codes for the names of countries, dependent territories, and special areas of geographical interest. It is the first part of the ISO 3166 standard published by the International Organization for Standardization .

  5. In probability theory and statistics, a normal distribution or Gaussian distribution is a type of continuous probability distribution for a real-valued random variable.The general form of its probability density function is = ()The parameter is the mean or expectation of the distribution (and also its median and mode), while the parameter is its standard deviation.

  6. SMART criteria. This article is about setting objectives. For other meanings, see Smart. S.M.A.R.T. (or SMART) is an acronym used as a mnemonic device to establish criteria for effective goal-setting and objective development. This framework is commonly applied in various fields, including project management, employee performance management ...

  7. Precision and recall In pattern recognition, information retrieval, object detection and classification (machine learning), precision and recall are performance metrics that apply to data retrieved from a collection, corpus or sample space.Precision (also called positive predictive value) is the fraction of relevant instances among the retrieved instances.

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