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What are two examples of data that can not be expressed in numbers?

Data that can't be expressed in numbers is called qualitative data, which includes descriptions and observations. Color, texture, emotions, and shape are examples of qualitative data.


What does the measure of central tendency describe in a data set?

It describes the "middle" of the data set.It describes the "middle" of the data set.It describes the "middle" of the data set.It describes the "middle" of the data set.


What is qualative data?

it is data that has to do with a qualities of something, i.e color shape feel...(etc) while quantitative has to do with numbers and quantities.


What is the name of the variable that describes data using words or numerals as labels?

The variable that describes data using words or numerals as labels is called a categorical variable.


What is a statistical measurement that describes the variation of a data set called?

Standard Deviation


Differences between metadata and attribute data?

Metadata is the data that describes information: language, who it is for, the source etc. Attribute data is composed of the attribute name and attribute value for example: "Color=red" where color is the attribute name and red is the attribute value.


The lowest level of abstraction which describes how the data are actually are stored is called?

The machine level.


What is the differnce between quantitative data and qualitative data?

Quantitative data involves numbers, either measurable or countable values. Qualitative data involves something descriptive like color or shape.


A number that describes numerical data is a?

A number that describes numerical data is a Statistic.


Is eye colour is a type of qualitative data?

Yes, eye color is a type of qualitative data because it describes a characteristic that can be categorized into distinct groups based on color (e.g., blue, green, brown). Qualitative data is non-numeric and consists of attributes or labels.


How Do You describe the shape of a data set?

You describe the shape, not of the data set, but of its density function.You describe the shape, not of the data set, but of its density function.You describe the shape, not of the data set, but of its density function.You describe the shape, not of the data set, but of its density function.


Which measure best describes the data set?

which measure best describes the data set