PBHL 3101 Chapter Notes - Chapter 5: Temporality, Unimodality, Multimodal Distribution

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Any attribute, phenomenon, or even that can have different values. Dependent variable- the outcome whose variation we seek to explain by the influence of independent variables; its value depends on the effect of other/independent variables in the relationship. Independent variable- the characteristic being observed or measured that is hypothesized to influence an event or outcome within the relationship under study. Association- refers to a linkage between or among variables. Variables that are associated with one another can be positive or negatively related. In a positive association, as the value of one variable increases so does the value of the other variable. In a negative (inverse) associate when the value of one variable increases, the value of the other variable decreases. A correlation coefficient (r) used with continuous variables measures the strength of association. The pearson correlation coefficients range from -1 to 1. When the value of r is negative, the relationship between two variables in inverse.

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