First let's look at what quantitative data is.Quantitative data are numeric.Discrete data are numeric data that have a finite number of possible values.So it is numerical data that can only have a finite number of possible values.One often used example of discrete quantitative data is the number 1,2 3, and 4 corresponding to strongly agree, agree, neutral, and don't agree,
Numerical data is numbers. Non-numerical data is anything else.
No. It uses continuous data. * * * * * Not true. It can use either discrete or continuous data.
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A number that describes numerical data is a Statistic.
In theory, it a continuous numerical variable. In practice, however, it is made discrete by the limitations of recording it - either by hand or by computer.
Discrete data are observations on a variable that which take values from a discrete set.
First let's look at what quantitative data is.Quantitative data are numeric.Discrete data are numeric data that have a finite number of possible values.So it is numerical data that can only have a finite number of possible values.One often used example of discrete quantitative data is the number 1,2 3, and 4 corresponding to strongly agree, agree, neutral, and don't agree,
The weight of the motorcycles is discrete and not the continuous data.
Numerical data is numbers. Non-numerical data is anything else.
Any kind of graph can be used for discrete data.
No. It uses continuous data. * * * * * Not true. It can use either discrete or continuous data.
Numerical data is quantitative research
Numerical data are organized by a graph.
Numerical data is data measured or identified on a numerical scale. Numerical can be analyzed using statistical methods, and results can be displayed using tables, charts, histograms, and graphs.
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A number that describes numerical data is a Statistic.