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  2. 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.

  3. 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.

  4. User research - Wikipedia

    en.wikipedia.org/wiki/User_Research

    User research also helps to uncover problems faced by users when they interact with a product and turn them into actionable insights. User research is beneficial in all stages of product development from ideation to market release. [7] Mike Kuniavsky further notes that it is "the process of understanding the impact of design on an audience."

  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. Design effect - Wikipedia

    en.wikipedia.org/wiki/Design_effect

    In survey research, the design effect is a number that shows how well a sample of people may represent a larger group of people for a specific measure of interest (such as the mean).

  7. Usability testing - Wikipedia

    en.wikipedia.org/wiki/Usability_testing

    In translated survey products, usability testing has shown that "cultural fitness" must be considered in the sentence and word levels and in the designs for data entry and navigation, [21] and that presenting translation and visual cues of common functionalities (tabs, hyperlinks, drop-down menus, and URLs) help to improve the user experience. [22]

  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. Estimation - Wikipedia

    en.wikipedia.org/wiki/Estimation

    The sample provides information that can be projected, through various formal or informal processes, to determine a range most likely to describe the missing information. An estimate that turns out to be incorrect will be an overestimate if the estimate exceeds the actual result [ 3 ] and an underestimate if the estimate falls short of the ...

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    related to: in ux what is a sample size in research