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  2. Sitting-rising test - Wikipedia

    en.wikipedia.org/wiki/Sitting-rising_test

    The sitting-rising test (SRT) is a clinical test which provides a significant and efficient prediction of mortality risk in the elderly. It was initially developed by Brazilian researchers in exercise physiology and sports medicine in the 1990s.

  3. File:Birth to 36 months boys head circumference clinical ...

    en.wikipedia.org/wiki/File:Birth_to_36_months...

    Short title: Birth to 36 months: Boys, Head circumberence-for-age and Weight-for-length percentiles: Image title: CDC Growth Charts: United States: Author

  4. Template:Percentile/testcases - Wikipedia

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

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  5. Template:Percentile - Wikipedia

    en.wikipedia.org/wiki/Template:Percentile

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  6. File:CDC growth chart boys birth to 36 mths cj41c017.pdf

    en.wikipedia.org/wiki/File:CDC_growth_chart_boys...

    Short title: Birth to 36 months: Boys, Length-for-age and Weight-for-age percentiles: Image title: CDC Growth Charts: United States: Author: NCHS: Keywords

  7. Growth chart - Wikipedia

    en.wikipedia.org/wiki/Growth_chart

    Charts based on a specific race or ethnicity are not useful because of the growth chart progression can be attributed to socioeconomic factors. [14] WHO launched a revised growth in 2006 chart using children from Ghana, Oman, Norway, Brazil, India and the USA that substantiated the fact that growth is highly dependent on environmental factors.

  8. 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 ...

  9. Shewhart individuals control chart - Wikipedia

    en.wikipedia.org/wiki/Shewhart_individuals...

    Some have alleged that departures in normality in the process output significantly reduce the effectiveness of the charts to the point where it may require control limits to be set based on percentiles of the empirically-determined distribution of the process output [2]: 237 although this assertion has been consistently refuted. See Footnote 6.