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  2. User experience evaluation - Wikipedia

    en.wikipedia.org/wiki/User_experience_evaluation

    It is non-trivial to assess user experience since user experience is subjective, context-dependent and dynamic over time. [1] For a UXA study to be successful, the researcher has to select the right dimensions, constructs, and methods and target the research for the specific area of interest such as game, transportation, mobile, etc.

  3. Sample size determination - Wikipedia

    en.wikipedia.org/wiki/Sample_size_determination

    Sample size determination or estimation is the act of choosing the number of observations or replicates to include in a statistical sample. The sample size is an important feature of any empirical study in which the goal is to make inferences about a population from a sample.

  4. Wikipedia : Analyzing sample size of 1001 as 97 percent

    en.wikipedia.org/wiki/Wikipedia:Analyzing_sample...

    [1] [2] [3] As often seen in political polls, when the size of a survey reaches 1,001 members, then the results for a wide variety of questions, or user preferences (etc.), is mathematically accurate to about a 97% confidence level. For example, in a sample of 1,001 random responses, if 90% of cases refer to e-mail spelled as "email" and only ...

  5. A/B testing - Wikipedia

    en.wikipedia.org/wiki/A/B_testing

    A/B testing (also known as bucket testing, split-run testing, or split testing) is a user experience research method. [1] A/B tests consist of a randomized experiment that usually involves two variants (A and B), [2] [3] [4] although the concept can be also extended to multiple variants of the same variable.

  6. User experience design - Wikipedia

    en.wikipedia.org/wiki/User_Experience_Design

    User experience design is a user centered design approach because it considers the user's experience when using a product or platform. [2] Research, data analysis, and test results drive design decisions in UX design rather than aesthetic preferences and opinions, for which is known as UX Design Research.

  7. Oversampling and undersampling in data analysis - Wikipedia

    en.wikipedia.org/wiki/Oversampling_and_under...

    Overabundance of already collected data became an issue only in the "Big Data" era, and the reasons to use undersampling are mainly practical and related to resource costs. Specifically, while one needs a suitably large sample size to draw valid statistical conclusions, the data must be cleaned before it can be used. Cleansing typically ...

  8. Sample maximum and minimum - Wikipedia

    en.wikipedia.org/wiki/Sample_maximum_and_minimum

    The sample extrema can be used for a simple normality test, specifically of kurtosis: one computes the t-statistic of the sample maximum and minimum (subtracts sample mean and divides by the sample standard deviation), and if they are unusually large for the sample size (as per the three sigma rule and table therein, or more precisely a Student ...

  9. User experience - Wikipedia

    en.wikipedia.org/wiki/User_experience

    User experience (UX) is how a user interacts with and experiences a product, system or service. It includes a person's perceptions of utility , ease of use , and efficiency . Improving user experience is important to most companies, designers, and creators when creating and refining products because negative user experience can diminish the use ...

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