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  2. Sample size determination - Wikipedia

    en.wikipedia.org/wiki/Sample_size_determination

    The table shown on the right can be used in a two-sample t-test to estimate the sample sizes of an experimental group and a control group that are of equal size, that is, the total number of individuals in the trial is twice that of the number given, and the desired significance level is 0.05. [4] The parameters used are:

  3. stdarg.h - Wikipedia

    en.wikipedia.org/wiki/Stdarg.h

    stdarg.h is a header in the C standard library of the C programming language that allows functions to accept an indefinite number of arguments. [1] It provides facilities for stepping through a list of function arguments of unknown number and type.

  4. Dependent and independent variables - Wikipedia

    en.wikipedia.org/wiki/Dependent_and_independent...

    In mathematics, a function is a rule for taking an input (in the simplest case, a number or set of numbers) [5] and providing an output (which may also be a number). [5] A symbol that stands for an arbitrary input is called an independent variable, while a symbol that stands for an arbitrary output is called a dependent variable. [6]

  5. Partial correlation - Wikipedia

    en.wikipedia.org/wiki/Partial_correlation

    The value –1 conveys a perfect negative correlation controlling for some variables (that is, an exact linear relationship in which higher values of one variable are associated with lower values of the other); the value 1 conveys a perfect positive linear relationship, and the value 0 conveys that there is no linear relationship.

  6. Explained variation - Wikipedia

    en.wikipedia.org/wiki/Explained_variation

    As the fraction of "explained variance" equals the squared correlation coefficient , it shares all the disadvantages of the latter: it reflects not only the quality of the regression, but also the distribution of the independent (conditioning) variables. In the words of one critic: "Thus gives the 'percentage of variance explained' by the ...

  7. Expected value - Wikipedia

    en.wikipedia.org/wiki/Expected_value

    The expected value of a random variable with a finite number of outcomes is a weighted average of all possible outcomes. In the case of a continuum of possible outcomes, the expectation is defined by integration. In the axiomatic foundation for probability provided by measure theory, the expectation is given by Lebesgue integration.

  8. In ‘A Complete Unknown,’ Sylvie Russo Is Fictional. Her ...

    www.aol.com/complete-unknown-sylvie-russo...

    As Dylan, Timothée Chalamet gives A Complete Unknown its mesmerizing nucleus, but his performance doesn’t position the musician as a relatable hero.By the end of the film, Chalamet’s Dylan ...

  9. Realization (probability) - Wikipedia

    en.wikipedia.org/wiki/Realization_(probability)

    Probability is a mapping that assigns numbers between zero and one to certain subsets of the sample space, namely the measurable subsets, known here as events. Subsets of the sample space that contain only one element are called elementary events. The value of the random variable (that is, the function) X at a point ω ∈ Ω,