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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Understanding and interpret numerical data
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.
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,
Discrete data are observations on a variable that which take values from a discrete set.
Numerical data is numbers. Non-numerical data is anything else.
The weight of the motorcycles is discrete and not the continuous data.
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 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.
Numerical data are organized by a graph.
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Non-numeric data refers to data that is not expressed in numerical form. This could include text, images, audio, video, or any other type of data that is not represented by numbers. Non-numeric data can be qualitative in nature and does not involve mathematical operations.