Lecture 2 - describing data: measures of central. Inferential statistics - is about making predictions from the limited information of th sample. Before predictions, we want to describe and summarize the data we have. Descriptive statistics - frequencies, measures of central tendency and measures of dispersion. Frequency distributions - table reporting the number of observations falling into each category or attribute of the variable. Frequency tables best illustrate how cases are distributed across a fairly limited se of attributes or categories. Useful approach at describing nominal and ordinal variables. I categorized the inequality variable into low, medium, high but this variable is really interval-ratio in the data set because it"s simply an array of numbers (i. e. gin. Coefficients) bc interval-ratio variables can have different values, say out of n=57, there ar. 25 different gini coefficients, frequency tables become more cumbersome. When you have a lot of data include the proportion (decimal) aka. percent (x100) (not just raw frequency).