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  2. Free variables and bound variables - Wikipedia

    en.wikipedia.org/wiki/Free_variables_and_bound...

    Note: we define a location in an expression as a leaf node in the syntax tree. Variable binding occurs when that location is below the node n. In the lambda calculus, x is a bound variable in the term M = λx. T and a free variable in the term T. We say x is bound in M and free in T. If T contains a subterm λx. U then x is rebound in this term.

  3. Variable and attribute (research) - Wikipedia

    en.wikipedia.org/wiki/Variable_and_attribute...

    The values are ordered in a logical way and must be defined for each variable. Domains can be bigger or smaller. The smallest possible domains have those variables that can only have two values, also called binary (or dichotomous) variables. Bigger domains have non-dichotomous variables and the ones with a higher level of measurement.

  4. Statistical data type - Wikipedia

    en.wikipedia.org/wiki/Statistical_data_type

    Such distinctions can often be loosely correlated with data type in computer science, in that dichotomous categorical variables may be represented with the Boolean data type, polytomous categorical variables with arbitrarily assigned integers in the integral data type, and continuous variables with the real data type involving floating point ...

  5. Event study - Wikipedia

    en.wikipedia.org/wiki/Event_study

    An event study is a statistical method to assess the impact of an event (also referred to as a "treatment"). [1] Early prominent uses of event studies occurred in the field of finance. [1] For example, the announcement of a merger between two business entities can be analyzed to see whether investors believe the merger will create or destroy value.

  6. Statistical model specification - Wikipedia

    en.wikipedia.org/wiki/Statistical_model...

    A variable omitted from the model may have a relationship with both the dependent variable and one or more of the independent variables (causing omitted-variable bias). [3] An irrelevant variable may be included in the model (although this does not create bias, it involves overfitting and so can lead to poor predictive performance).

  7. List of research methods in biology - Wikipedia

    en.wikipedia.org/wiki/List_of_research_methods...

    A research design that involves multiple measures of the same variable taken on the same or matched subjects either under different conditions or over two or more time periods. [1] Paired t-test, Wilcoxon signed-rank test

  8. Scientists Link Popular Drink With Over 330,000 Deaths a Year

    www.aol.com/scientists-popular-drink-over-330...

    Sugar-sweetened beverages may increase your risk for heart disease and type 2 diabetes, new research finds. Sugary drinks were found to be linked to over 330,000 deaths a year. Experts explain the ...

  9. Research design - Wikipedia

    en.wikipedia.org/wiki/Research_design

    The choice of how to group participants depends on the research hypothesis and on how the participants are sampled.In a typical experimental study, there will be at least one "experimental" condition (e.g., "treatment") and one "control" condition ("no treatment"), but the appropriate method of grouping may depend on factors such as the duration of measurement phase and participant ...