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  2. Percentile rank - Wikipedia

    en.wikipedia.org/wiki/Percentile_rank

    The figure illustrates the percentile rank computation and shows how the 0.5 × F term in the formula ensures that the percentile rank reflects a percentage of scores less than the specified score. For example, for the 10 scores shown in the figure, 60% of them are below a score of 4 (five less than 4 and half of the two equal to 4) and 95% are ...

  3. Normal curve equivalent - Wikipedia

    en.wikipedia.org/wiki/Normal_curve_equivalent

    The reason for the choice of the number 21.06 is to bring about the following result: If the scores are normally distributed (i.e. they follow the "bell-shaped curve") then the normal equivalent score is 99 if the percentile rank of the raw score is 99; the normal equivalent score is 50 if the percentile rank of the raw score is 50;

  4. Percentile - Wikipedia

    en.wikipedia.org/wiki/Percentile

    Percentile scores and percentile ranks are often used in the reporting of test scores from norm-referenced tests, but, as just noted, they are not the same. For percentile ranks, a score is given and a percentage is computed. Percentile ranks are exclusive: if the percentile rank for a specified score is 90%, then 90% of the scores were lower.

  5. Standard score - Wikipedia

    en.wikipedia.org/wiki/Standard_score

    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.

  6. Ranking (statistics) - Wikipedia

    en.wikipedia.org/wiki/Ranking_(statistics)

    In statistics, ranking is the data transformation in which numerical or ordinal values are replaced by their rank when the data are sorted.. For example, if the numerical data 3.4, 5.1, 2.6, 7.3 are observed, the ranks of these data items would be 2, 3, 1 and 4 respectively.

  7. Academic grading in the United States - Wikipedia

    en.wikipedia.org/wiki/Academic_grading_in_the...

    Regardless of the absolute performance of the students, the best score in the group receives a top grade and the worst score receives a failing grade. Numerical values in America are applied to grades as shown below: A = 4; B = 3; C = 2; D = 1; This allows grades to be easily averaged.

  8. Australian Tertiary Admission Rank - Wikipedia

    en.wikipedia.org/wiki/Australian_Tertiary...

    For example, the median ATAR score in NSW and the ACT for 2014 was 68.95. [14] Since 2020, all jurisdictions have used a one-parameter cubic spline model to convert their aggregate scores into percentiles. [15] [16] In most states, when a student achieves an ATAR between 0.00 and 30.00, their notification will only indicate an ATAR of "30 or less".

  9. Norm-referenced test - Wikipedia

    en.wikipedia.org/wiki/Norm-referenced_test

    Numeric scores (or possibly scores on a sufficiently fine-grained ordinal scale) are assigned to the students. The absolute values are less relevant, provided that the order of the scores corresponds to the relative performance of each student within the course. These scores are converted to percentiles (or some other system of quantiles).