![]() ![]() Think of discrete variables as “hens.” Hens can lay 1 egg, or 2 eggs, or 13 eggs… There are a limited, definable number of values that the variable could take on.Ĭontinuous variables have an infinite number of possible values. Discrete variables have a finite or countable number of possible values. Quantitative variables can be broken down further into two more categories: discrete and continuous variables. Examples of quantitative variables are age, height, and length. ![]() Mathematical operations can be applied to these data. Quantitative variables have values that are typically numeric, such as measurements. Examples of qualitative variables are gender, race, and petal color. Mathematical operations cannot be applied to qualitative variables. Qualitative variables have values that are attributes or categories. Variables are divided into two major groups: qualitative and quantitative. The weight of grizzly bears in Yellowstone National Park.The pH of lakes in the Adirondack Park.Variables are the characteristics we are interested in. The population variance (σ 2) is estimated by the sample variance (s 2). For example, the population mean (µ) is estimated by the sample mean ( x̄). Inferences about parameters are based on sample statistics. Populations are characterized by descriptive measures called parameters. 60 grizzly bears with a home range in Yellowstone National Park.25 lakes randomly selected from the Adirondack Park. ![]()
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