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  2. List of HTTP status codes - Wikipedia

    en.wikipedia.org/wiki/List_of_HTTP_status_codes

    This class of status code indicates the client must take additional action to complete the request. Many of these status codes are used in URL redirection. [2]A user agent may carry out the additional action with no user interaction only if the method used in the second request is GET or HEAD.

  3. Temporary Error 5 in AOL Mail - AOL Help

    help.aol.com/articles/temporary-error-5-in-aol-mail

    Get live expert help with your AOL needs—from email and passwords, technical questions, mobile email and more.

  4. Standard error - Wikipedia

    en.wikipedia.org/wiki/Standard_error

    For a value that is sampled with an unbiased normally distributed error, the above depicts the proportion of samples that would fall between 0, 1, 2, ...

  5. List of SMTP server return codes - Wikipedia

    en.wikipedia.org/wiki/List_of_SMTP_server_return...

    X.3.XXX Mail System Status. X.4.XXX Network and Routing Status. X.5.XXX Mail Delivery Protocol Status. X.6.XXX Message Content or Media Status. X.7.XXX Security or Policy Status. The meaning of the "detail" field depends on the class and the subject, and are listed in RFC 3463 and RFC 5248 . A server capable of replying with an Enhanced Status ...

  6. Error code - Wikipedia

    en.wikipedia.org/wiki/Error_code

    Main page; Contents; Current events; Random article; About Wikipedia; Contact us; Donate; Pages for logged out editors learn more

  7. Error correction code - Wikipedia

    en.wikipedia.org/wiki/Error_correction_code

    Turbo coding is an iterated soft-decoding scheme that combines two or more relatively simple convolutional codes and an interleaver to produce a block code that can perform to within a fraction of a decibel of the Shannon limit.

  8. Error - Wikipedia

    en.wikipedia.org/wiki/Error

    One reference differentiates between "error" and "mistake" as follows: ... One may distinguish various kinds of linguistic errors [5] – some, ...

  9. Type I and type II errors - Wikipedia

    en.wikipedia.org/wiki/Type_I_and_type_II_errors

    In statistical hypothesis testing, a type I error, or a false positive, is the rejection of the null hypothesis when it is actually true. For example, an innocent person may be convicted. A type II error, or a false negative, is the failure to reject a null hypothesis that is actually false. For example: a guilty person may be not convicted.