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  2. Chartreux - Wikipedia

    en.wikipedia.org/wiki/Chartreux

    Chartreux cats are also known for their "smile"; due to the structure of their heads and their tapered muzzles, they often appear to be smiling. Chartreux are exceptional hunters and are highly prized by farmers. As for every French cat with a pedigree, the first letter of the official name of a Chartreux cat encodes the year of its birth. [1]

  3. 68–95–99.7 rule - Wikipedia

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

    In statistics, the 68–95–99.7 rule, also known as the empirical rule, and sometimes abbreviated 3sr, is a shorthand used to remember the percentage of values that lie within an interval estimate in a normal distribution: approximately 68%, 95%, and 99.7% of the values lie within one, two, and three standard deviations of the mean, respectively.

  4. Microsoft Excel - Wikipedia

    en.wikipedia.org/wiki/Microsoft_Excel

    A chart created with data from a Microsoft Excel spreadsheet that only saves the chart. To save the chart and spreadsheet save as .XLS. XLC is not supported in Excel 2007 or in any newer versions of Excel. Dialog .xld: Used in older versions of Excel. Archive .xlk: A backup of an Excel Spreadsheet Add-in (DLL) .xll

  5. Error bar - Wikipedia

    en.wikipedia.org/wiki/Error_bar

    This statistics -related article is a stub. You can help Wikipedia by expanding it.

  6. Talk:Chartreux - Wikipedia

    en.wikipedia.org/wiki/Talk:Chartreux

    These two cat fancy organizations are not the same. The Chartreux is not even a recognized breed of the GCCF; it is not included in the GCCF's list of recognized breeds, and a search of the entire GCCF site did not even find a match for the word "Chartreux". By contrast, the CFA's Chartreux breed page is linked from the Chartreux article.

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  8. Mean percentage error - Wikipedia

    en.wikipedia.org/wiki/Mean_percentage_error

    Because actual rather than absolute values of the forecast errors are used in the formula, positive and negative forecast errors can offset each other; as a result, the formula can be used as a measure of the bias in the forecasts.

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