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  2. Normalization (statistics) - Wikipedia

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

    In the simplest cases, normalization of ratings means adjusting values measured on different scales to a notionally common scale, often prior to averaging. In more complicated cases, normalization may refer to more sophisticated adjustments where the intention is to bring the entire probability distributions of adjusted values into alignment.

  3. Template:32TeamBracket - Wikipedia

    en.wikipedia.org/wiki/Template:32TeamBracket

    RD n-score m: The score of team m in round n. RD n-score m-s: The score of team m in round n and set s (or leg for multileg matches). Alternatively, the last score in the round can be specified using the -agg suffix. RD1-omit: Selectively omit teams from the first round. For example, use 1 / 2 / 5 / 6 to omit team1, team2, team5, and team6 from ...

  4. Template:Access level documentation/doc - Wikipedia

    en.wikipedia.org/wiki/Template:Access_level...

    Closed access}} vs. {{Open access}} to display a symbol to indicate that a publication is or is not available under open access and is or is not behind a paywall {{Free access}} and {{limited access}} {} {{Subscription or libraries}} to add when a subscription may be required or content may be at a library {{Password-protected}}

  5. Normal curve equivalent - Wikipedia

    en.wikipedia.org/wiki/Normal_curve_equivalent

    the normal equivalent score is 50 if the percentile rank of the raw score is 50; the normal equivalent score is 1 if the percentile rank of the raw score is 1. This relationship between normal equivalent scores and percentile ranks does not hold at values other than 1, 50, and 99. It also fails to hold in general if scores are not normally ...

  6. Quantile normalization - Wikipedia

    en.wikipedia.org/wiki/Quantile_normalization

    To quantile normalize two or more distributions to each other, without a reference distribution, sort as before, then set to the average (usually, arithmetic mean) of the distributions. So the highest value in all cases becomes the mean of the highest values, the second highest value becomes the mean of the second highest values, and so on.

  7. Database normalization - Wikipedia

    en.wikipedia.org/wiki/Database_normalization

    Normalization is a database design technique, which is used to design a relational database table up to higher normal form. [9] The process is progressive, and a higher level of database normalization cannot be achieved unless the previous levels have been satisfied.

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  9. Normal score - Wikipedia

    en.wikipedia.org/wiki/Normal_score

    The term normal score is used with two different meanings in statistics. One of them relates to creating a single value which can be treated as if it had arisen from a standard normal distribution (zero mean, unit variance). The second one relates to assigning alternative values to data points within a dataset, with the broad intention of ...

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