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  2. One- and two-tailed tests - Wikipedia

    en.wikipedia.org/wiki/One-_and_two-tailed_tests

    A two-tailed test applied to the normal distribution. A one-tailed test, showing the p-value as the size of one tail. In statistical significance testing, a one-tailed test and a two-tailed test are alternative ways of computing the statistical significance of a parameter inferred from a data set, in terms of a test statistic. A two-tailed test ...

  3. Category:Biology templates - Wikipedia

    en.wikipedia.org/wiki/Category:Biology_templates

    [[Category:Biology templates]] to the <includeonly> section at the bottom of that page. Otherwise, add <noinclude>[[Category:Biology templates]]</noinclude> to the end of the template code, making sure it starts on the same line as the code's last character.

  4. Sign test - Wikipedia

    en.wikipedia.org/wiki/Sign_test

    The sign test is a statistical test for consistent differences between pairs of observations, such as the weight of subjects before and after treatment. Given pairs of observations (such as weight pre- and post-treatment) for each subject, the sign test determines if one member of the pair (such as pre-treatment) tends to be greater than (or less than) the other member of the pair (such as ...

  5. Fisher's exact test - Wikipedia

    en.wikipedia.org/wiki/Fisher's_exact_test

    Most uses of the Fisher test involve, like this example, a 2 × 2 contingency table (discussed below). The p -value from the test is computed as if the margins of the table are fixed, i.e. as if, in the tea-tasting example, Bristol knows the number of cups with each treatment (milk or tea first) and will therefore provide guesses with the ...

  6. Template:Cell biology - Wikipedia

    en.wikipedia.org/wiki/Template:Cell_biology

    2 Example. 3 See also. Toggle the table of contents. Template: Cell biology. ... Download QR code; Print/export Download as PDF; Printable version; In other projects

  7. Student's t-test - Wikipedia

    en.wikipedia.org/wiki/Student's_t-test

    The independent samples t-test is used when two separate sets of independent and identically distributed samples are obtained, and one variable from each of the two populations is compared. For example, suppose we are evaluating the effect of a medical treatment, and we enroll 100 subjects into our study, then randomly assign 50 subjects to the ...

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