SOCI 313 Lecture Notes - Lecture 15: Covariance, Interquartile Range, Contingency Table
5 Dec 2017
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Document Summary
How does data analysis work: the analysis of numerical data is built on two basic dimensions: Interval/ratio: the number of variable in the analysis. Number of times data occurs in an analysis: measures of central tendency. Is a single value that describes the way in which a group of data cluster around a central value. Mean, median, mode: measures of dispersion. Dispersion (also called variability, scatter, or spread) is the extent to which a distribution is stretched or squeezed. Common examples of measures of statistical dispersion are the variance, standard deviation, and interquartile range. For the interval ratio variables, frequencies become less informative. Bivariate analysis: addresses a research question, x y, determines whether there is a relationship between two variables, note: established the existence of a relationship is not proof of causality. Values range from 0 indicating no relationship,+1 perfect positive relationship, -1 perfect negative relationship.
