![]() In this case the two variables would be age and income, and such joint statistical analysis would allow the researcher to infer conclusions on the age of the population who has the highest economical means. In a bivariate data set, each data point from the set has two values corresponding to each of the two variables in the set, this pairing of values per data point allows us to see the relationship between the variables being studied (if any) and see any tendency patterns in their behaviour.įor example, a simple bivariate data set could be the gathering of the ages and yearly income from the adult population in the city of Richmond. ![]() We define bivariate data as data that has two variables. ![]() In real life, we know a population has a huge amount of different characteristics which can (or cannot) be dependent on each other, or tied to one another in a certain way therefore, this lesson will focus on that, on cases in which we start studying populations from more than one of their characteristics, thus paying attention to cases where two variables are being studied, compared, represented together and even produced conclusions based on their behaviour by themselves and with each other: it is time to learn about bivariate data (sometimes called bivariable data). But all of the topics covered so far focus on the idea of having a data set produced from the study of a single characteristic (a single variable) from a population, or a sample of a population. So far we have focused our lessons in statistics to learn how to gather data and present it in a meaningful and easily to communicate way.
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