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The document explains the types of variables in research and statistics, focusing on the distinction between quantitative and categorical variables, as well as their subtypes such as discrete, continuous, binary, nominal, and ordinal variables. It also covers the importance of independent, dependent, and control variables in experimental design, and introduces concepts like confounding, latent, and composite variables. Understanding these variable types is crucial for selecting appropriate statistical tests

Author

McAnthony Olisah

Language

EN