STAT 100 Lecture Notes - Lecture 6: Standard Deviation, Categorical Variable, Dependent And Independent Variables

• School: University of Maryland
• Department: Statistics and Probability
• Course: STAT 100
• Professor: Cremins

Document Summary

The outcome variable on which comparisons are made. When the explanatory variable is categorical, it de nes the groups to be compared with respect to values on the response variable. When the explanatory variable is quantitative, it de nes the change in different numerical values to be compared with respect to the values for the response variable. Carbon dioxide (co2) level/amount of gasoline use for cars. College gpa/number of hours a week spent studying. If we further classify each of the two relevant variables according to type (categorical or quantitative), we get the possibilities for role-type classi cation . The main purpose of data analysis with two variables is to investigate whether there is an association and to describe that association. An association exists between two variables if a particular value for one variable is more likely to occur with certain values of the other variable. The rows list the categories of one variable.