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What are quantitative attributes?


Asked by Adriel Russo on Nov 29, 2021 FAQ



Understanding Quantitative Attributes. Understanding Quantitative Attributes. Quantitative Attribute (QA) is a special attribute that is used to compare two values, i.e., it is used to compare a user-defined value against an upper limit and a lower limit.
Accordingly,
Quantitative Attributes Numeric : A numeric attribute is quantitative because, it is a measurable quantity, represented in integer or real values. Numerical attributes are of 2 types, interval and ratio. Discrete : Discrete data have finite values it can be numerical and can also be in categorical form.
Subsequently, It summarises data and streamlines it into relevant information. Quantitative data is numeric in nature, and as such codes qualitative data into numbers before analysis. This is sometimes called quantification of qualitative data. Research replication is made easy with quantitative data.
In respect to this,
Quantitative research templates are objective, elaborate and many a times, are investigational in nature. The results achieved from this research method are logical, statistical and unbiased. Data collection happens using a structured method and conducted on larger samples which represent the entire population.
Besides,
Some of the data visualisation techniques adopted by quantitative data include; scatter plot, dot plot, stacked dot plot, histograms, etc. The first stage of quantitative data analysis and interpretation is data preparation, where raw data is converted into something meaningful and readable. There are four steps of data preparation: