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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. Income inequality metrics - Wikipedia

    en.wikipedia.org/wiki/Income_inequality_metrics

    Income of a given percentage as a ratio to median, for 10th (red), 20th, 50th, 80th, 90th, and 95th (grey) percentile, for 1967–2003 in the United States (50th percentile is 1:1 by definition) Particularly common to compare a given percentile to the median, as in the first chart here; compare seven-number summary , which summarizes a ...

  4. Percentile - Wikipedia

    en.wikipedia.org/wiki/Percentile

    The 25th percentile is also known as the first quartile (Q 1), the 50th percentile as the median or second quartile (Q 2), and the 75th percentile as the third quartile (Q 3). For example, the 50th percentile (median) is the score below (or at or below , depending on the definition) which 50% of the scores in the distribution are found.

  5. Template:Percentile/doc - Wikipedia

    en.wikipedia.org/wiki/Template:Percentile/doc

    This is a documentation subpage for Template:Percentile. It may contain usage information, categories and other content that is not part of the original template page.

  6. Normal curve equivalent - Wikipedia

    en.wikipedia.org/wiki/Normal_curve_equivalent

    In educational statistics, a normal curve equivalent (NCE), developed for the United States Department of Education by the RMC Research Corporation, [1] is a way of normalizing scores received on a test into a 0-100 scale similar to a percentile rank, but preserving the valuable equal-interval properties of a z-score.

  7. 68–95–99.7 rule - Wikipedia

    en.wikipedia.org/wiki/68–95–99.7_rule

    Diagram showing the cumulative distribution function for the normal distribution with mean (μ) 0 and variance (σ 2) 1. These numerical values "68%, 95%, 99.7%" come from the cumulative distribution function of the normal distribution.

  8. Quartile - Wikipedia

    en.wikipedia.org/wiki/Quartile

    The first quartile (Q 1) is defined as the 25th percentile where lowest 25% data is below this point. It is also known as the lower quartile. The second quartile (Q 2) is the median of a data set; thus 50% of the data lies below this point. The third quartile (Q 3) is the 75th percentile where

  9. Income in the United States - Wikipedia

    en.wikipedia.org/wiki/Income_in_the_United_States

    10th percentile 20th percentile 30th percentile 40th percentile 50th percentile 60th percentile 70th percentile 80th percentile 90th percentile 95th percentile ≤ $15,700: ≤ $28,000: ≤ $40,500: ≤ $55,000: $70,800: ≤ $89,700: ≤ $113,200: ≤ $149,100: ≤ $212,100: ≤ $286,300 Source: US Census Bureau, 2021; income statistics for the ...

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