Determine whether the variable is qualitative or quantitative number on an athletes jersey

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Jennifer B.

Intro Stats / AP Statistics

7 months ago

False. More types of calculations can be performed with data at the interval level than with data at the nominal level.

Data at the nominal level can be put in a category. Data at the interval level can be put in a​ category, put in​ order, and you can find differences between values. ​Therefore, more types of calculations can be performed with data at the interval level than with data at the nominal level.

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Qualitative Versus Quantitative

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 100 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. Designator values usually do not repeat in a table, but variable values often do repeat.

Examples: name, rank, jersey number of a team member, cell phone number, license number.

Exercises: In the tables below identify which columns represent qualitative variables, which columns represent quantitative variables, and which columns represent designators.

1) Highest U.S. Dams

Source: The World Almanac and Book of Facts 1998

2) Super Bowls

Source: The World Almanac and Book of Facts 1998

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.cjlt.ca/index.php/cjlt/article/viewArticle/34/31 on June 27, 2011. 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 "Year" column is quantitative and the "Location" column is qualitative.

The qualitative variable "County" has only three possible outcomes: D, B and B/D, and I want at least four possible values for the categorical variable you find 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.