What type of variable is height

Nominal variables A nominal variable is one that describes a name, label or category without natural order.

The information is grouped by Mode of transportation for travel to work appearing as row headers , Number of people appearing as column headers. Mode of transportation for travel to work Number of people Car, truck, van as driver 9,, Car, truck, van as passenger , Public transit 1,, Walked , Bicycle , Other methods , Table 4.

The information is grouped by Behaviour appearing as row headers , Number of students appearing as column headers. Statistics: Power from Data! Report a problem on this page. Is something not working? Is there information outdated? Can't find what you're looking for? A variable is a characteristic of an object. Their values may occur more than once for a set of data.

We consider just two main types of variables in this course. Quantitative Variables - Variables whose values result from counting or measuring something. Examples : height, weight, time in the yard dash, number of items sold to a shopper. Qualitative Variables - Variables that are not measurement variables. Their values do not result from measuring or counting. Examples : hair color, religion, political party, profession. Designator - Values that are used to identify individuals in a table.

They have no arithmetic meaning i. Usually, if such a coding is used, all categorical variables will be coded and we will tend to do this type of coding for datasets in this course.

This categorized BMI is an example of an ordinal categorical variable. The types of variables you are analyzing directly relate to the available descriptive and inferential statistical methods. As we proceed in this course, we will continually emphasize the types of variables that are appropriate for each method we discuss.

To compare the number of polio cases in the two treatment arms of the Salk Polio vaccine trial, you could use. To compare blood pressures in a clinical trial evaluating two blood pressure-lowering medications, you could use. Home Introduction Metacognition. Weight and height are also examples of quantitative variables. It is discrete for organizations where there is a fixed salary for employees. The level at which you measure a variable determines how you can analyze your data.

The different levels limit which descriptive statistics you can use to get an overall summary of your data, and which type of inferential statistics you can perform on your data to support or refute your hypothesis. A discrete variable is a variable whose value is obtained by counting. Examples: number of students present.