Height is what type of variable

The reported height would be rounded to the nearest centimetre, so it would be 1. The age is another example of a continuous variable that is typically rounded down. As opposed to a continuous variable, a discrete variable can assume only a finite number of real values within a given interval.

An example of a discrete variable would be the score given by a judge to a gymnast in competition: the range is 0 to 10 and the score is always given to one decimal e. You can enumerate all possible values 0, 0. Another example of a discrete variable is the number of people in a household for a household of size 20 or less.

Please contact us and let us know how we can help you. Table of contents. Topic navigation. 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.

Exercises : In the tables below identify which columns represent qualitative variables, which columns represent quantitative variables, and which columns represent designators. N Fork Clearwater. Glen Canyon. The following are some examples of qualitative and quantitative variables.

You may not use these examples for ESA 2, but you may use similar tables of information. The following information came from www. The table in the article contains a lot more information than this, so I just copied the information needed from the first 21 rows.

This is a fairly complex example. There are much simpler examples available that would satisfy the criteria for ESA 2. The other two possible qualitative variables, "Public Boat Landing" and "Other Public Access", have too many blank cells to be acceptable.

Again, you may not use any of the examples given on this site for ESA 2, but you may use similar tables of information. Qualitative Versus Quantitative A variable is a characteristic of an object. Stevens and published in A categorical variable, also called a nominal variable, is for mutually exclusive, but not ordered, categories. For example, your study might compare five different genotypes. You can code the five genotypes with numbers if you want, but the order is arbitrary and any calculations for example, computing an average would be meaningless.

An ordinal variable, is one where the order matters but not the difference between values. For example, you might ask patients to express the amount of pain they are feeling on a scale of 1 to A score of 7 means more pain than a score of 5, and that is more than a score of 3. But the difference between the 7 and the 5 may not be the same as that between 5 and 3. The values simply express an order.

An interval variable is a one where the difference between two values is meaningful. The difference between a temperature of degrees and 90 degrees is the same difference as between 90 degrees and 80 degrees.

A ratio variable, has all the properties of an interval variable, but also has a clear definition of 0.