BUS 082 Lecture Notes - Lecture 22: Continuous Or Discrete Variable, Design Of Experiments, Categorical Variable

• School: College of The Sequoias
• Department: Business (BUS)
• Course: BUS 082
• Professor: bettencourt

Document Summary

Categorical (qualitative): variables have values that can only be placed in categories- e. g. yes or no. Numerical (quantitative): variables have values that represent actual quantities. Discrete variables: arise from counting, must be a whole number. Continuous variables: arise from measuring and can be assigned any value within a given interval, e. g. height, can be 178. 8, however often rounded and made into a discrete variable. Sometimes discrete variables with many outcomes are treated like continuous variables, e. g. prices. Discrete is a count, continuous is a measured characteristic. These classify or categorise, their order does not matter. Employment classification, 1 for teacher, 2 for lawyer. They are labels use to classify and to indicate rank or order and often represent an underlying scale, with differences in levels not being comparable, e. g. effort grades. Data is numerical and differences between values have a consistent meaning. The location of 0 is a matter of convenience, there is no true 0, like celsius temperature.