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  2. Use error - Wikipedia

    en.wikipedia.org/wiki/Use_error

    The URM Model [14] characterizes use errors in terms of the user's failure to manage a system deficiency. Six categories of use errors are described in a URM document: Expected faults with risky results; Expected faults with unexpected results; Expected user errors in identifying risky situations (this study); User Errors in handling expected ...

  3. User error - Wikipedia

    en.wikipedia.org/wiki/User_error

    These phrases are used as a humorous [7] way to describe user errors. A highly popularized example of this is a user mistaking their CD-ROM tray for a cup holder, or a user looking for the "any key". However, any variety of stupidity or ignorance-induced problems can be described as user errors.

  4. Transcription error - Wikipedia

    en.wikipedia.org/wiki/Transcription_error

    Transcription and transposition errors are found everywhere, even in professional articles in newspapers or books. They can be missed by editors quite easily, just as they can be created quite easily. The most obvious cure for the errors is for the user to watch the screen when they type, and to proofread.

  5. User error - en.wikipedia.org

    en.wikipedia.org/.../page/mobile-html/User_error

    These phrases are used as a humorous [7] way to describe user errors. A highly popularized example of this is a user mistaking their CD-ROM tray for a cup holder, or a user looking for the "any key". However, any variety of stupidity or ignorance-induced problems can be described as user errors. PEBKAC/PEBCAK/PICNIC

  6. 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. A type II error, or a false negative, is the failure to reject a null hypothesis that is actually false. [1] Type I error: an innocent person may be convicted. Type II error: a guilty person may be not convicted.

  7. Type III error - Wikipedia

    en.wikipedia.org/wiki/Type_III_error

    In statistical hypothesis testing, there are various notions of so-called type III errors (or errors of the third kind), and sometimes type IV errors or higher, by analogy with the type I and type II errors of Jerzy Neyman and Egon Pearson. Fundamentally, type III errors occur when researchers provide the right answer to the wrong question, i.e ...

  8. AOL Mail

    mail.aol.com

    Get AOL Mail for FREE! Manage your email like never before with travel, photo & document views. Personalize your inbox with themes & tabs. You've Got Mail!

  9. Usability testing - Wikipedia

    en.wikipedia.org/wiki/Usability_testing

    Usability testing is a technique used in user-centered interaction design to evaluate a product by testing it on users. This can be seen as an irreplaceable usability practice, since it gives direct input on how real users use the system. [1]