Which variable has distinct category to identify the characteristics of something or someone?
Watch the video for a brief overview of several common types of variables: Can’t see the video? Click here. A “variable” in algebra really just means one thing—an unknown value. However, in statistics,
you’ll come across dozens of types of variables. In most cases, the word still means that you’re dealing with something that’s unknown, but—unlike in algebra—that unknown isn’t always a number. Some variable types are used more than others. For example, you’ll be much more likely to come across continuous variables than you would dummy variables. The following lists are sorted into common types of variables (like independent and dependent) and less common types (like covariate and noncomitant). Click on any bold variable name to learn more about that particular type.
Less Common Types of Variables
Types of Variables: ReferencesDodge, Y. (2008). The Concise Encyclopedia of Statistics. Springer. ---------------------------------------------------------------------------
Need help with a homework or test question? With Chegg Study, you can get step-by-step solutions to your questions from an expert in the field. Your first 30 minutes with a Chegg tutor is free! Comments? Need to post a correction? Please Contact Us. What type of variable is characteristic?Categorical variables have values that describe a 'quality' or 'characteristic' of a data unit, like 'what type' or 'which category'.
What type of variable is also known as category?A categorical variable (also called qualitative variable) refers to a characteristic that can't be quantifiable. Categorical variables can be either nominal or ordinal.
What are the 4 categories of variables?You can see that one way to look at variables is to divide them into four different categories ( nominal, ordinal, interval and ratio). These refer to the levels of measure associated with the variables.
What is variable and what are the characteristic of variable?"A variable is a characteristic of a statistical unit being observed that may assume more than one of a set of values to which a numerical measure or a category from a classification can be assigned."
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