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[2] Bivariate analysis can be contrasted with univariate analysis in which only one variable is analysed. [1] Like univariate analysis, bivariate analysis can be descriptive or inferential. It is the analysis of the relationship between the two variables. [1]
This is done so that the relationship (if any) between the variables is easily seen. [4] For example, bivariate data on a scatter plot could be used to study the relationship between stride length and length of legs. In a bivariate correlation, outliers can be incredibly problematic when they involve both extreme scores on both variables.
Binomial distribution for p = 0.5 with n and k as in Pascal's triangle The probability that a ball in a Galton box with 8 layers ( n = 8 ) ends up in the central bin ( k = 4 ) is 70/256 .