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  2. Bivariate data - Wikipedia

    en.wikipedia.org/wiki/Bivariate_data

    For two quantitative variables (interval or ratio in level of measurement), a scatterplot can be used and a correlation coefficient or regression model can be used to quantify the association. [3] For two qualitative variables (nominal or ordinal in level of measurement ), a contingency table can be used to view the data, and a measure of ...

  3. Bivariate analysis - Wikipedia

    en.wikipedia.org/wiki/Bivariate_analysis

    Regression is a statistical technique used to help investigate how variation in one or more variables predicts or explains variation in another variable.

  4. Multivariate probit model - Wikipedia

    en.wikipedia.org/wiki/Multivariate_probit_model

    In statistics and econometrics, the multivariate probit model is a generalization of the probit model used to estimate several correlated binary outcomes jointly. For example, if it is believed that the decisions of sending at least one child to public school and that of voting in favor of a school budget are correlated (both decisions are binary), then the multivariate probit model would be ...

  5. Bivariate - Wikipedia

    en.wikipedia.org/wiki/Bivariate

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  6. Binomial distribution - Wikipedia

    en.wikipedia.org/wiki/Binomial_distribution

    Notation (,)Parameters {,,, …} – number of trials[,] – success probability for each trial= Support {,, …,} – number of successesPMF ()CDF ...