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  2. Z-test - Wikipedia

    en.wikipedia.org/wiki/Z-test

    Difference between Z-test and t-test: Z-test is used when sample size is large (n>50), or the population variance is known. t-test is used when sample size is small (n<50) and population variance is unknown. There is no universal constant at which the sample size is generally considered large enough to justify use of the plug-in test.

  3. Z-factor - Wikipedia

    en.wikipedia.org/wiki/Z-factor

    The Z-factor defines a characteristic parameter of the capability of hit identification for each given assay. The following categorization of HTS assay quality by the value of the Z-Factor is a modification of Table 1 shown in Zhang et al. (1999); [2] note that the Z-factor cannot exceed one.

  4. Two-sample hypothesis testing - Wikipedia

    en.wikipedia.org/wiki/Two-sample_hypothesis_testing

    In statistical hypothesis testing, a two-sample test is a test performed on the data of two random samples, each independently obtained from a different given population. The purpose of the test is to determine whether the difference between these two populations is statistically significant .

  5. List of statistical tests - Wikipedia

    en.wikipedia.org/wiki/List_of_statistical_tests

    Statistical tests are used to test the fit between a hypothesis and the data. [1] [2] Choosing the right statistical test is not a trivial task. [1] The choice of the test depends on many properties of the research question. The vast majority of studies can be addressed by 30 of the 100 or so statistical tests in use. [3] [4] [5]

  6. Statistical hypothesis test - Wikipedia

    en.wikipedia.org/wiki/Statistical_hypothesis_test

    The typical steps involved in performing a frequentist hypothesis test in practice are: Define a hypothesis (claim which is testable using data). Select a relevant statistical test with associated test statistic T. Derive the distribution of the test statistic under the null hypothesis from the assumptions.

  7. Evidence-based assessment - Wikipedia

    en.wikipedia.org/wiki/Evidence-based_assessment

    Clinicians formulate and test hypotheses by integrating often incomplete and inconsistent data. [1] EBA has been shown to aid clinicians in reducing cognitive biases in their clinical decisions. [2] Evidence-based assessment is a component of the broader movement towards evidence-based practices.

  8. Nursing research - Wikipedia

    en.wikipedia.org/wiki/Nursing_research

    Nursing research is research that provides evidence used to support nursing practices. Nursing, as an evidence-based area of practice, has been developing since the time of Florence Nightingale to the present day, where many nurses now work as researchers based in universities as well as in the health care setting.

  9. Evidence-based nursing - Wikipedia

    en.wikipedia.org/wiki/Evidence-based_nursing

    One method of research for evidence-based practice in nursing is 'qualitative research': The word implies an entity and meanings that are not experimentally examined or measured in terms of quantity, amount, frequency, or intensity. With qualitative research, researchers learn about patient experiences through discussions and interviews.