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On the contrary quantitative data is the one that focuses on numbers and mathematical calculations and can be calculated and computed.
Quantitative data vs qualitative data math. Data the information used in statistics can be either qualitative or quantitative. The data type in which the classification of objects is based on attributes quality is called qualitative data. Examples of quantitative data would be the number of pets time of day the temperature outside. Of a phenomenon or thing are described.
These data types are used in a number of fields like marketing sociology business public health and so on. Quantitative data is numerical and qualitative data is descriptive. This type of data is measured using numbers and values which makes it a more suitable candidate for data analysis. Two ways that data can be divided is by qualitative data and quantitative data.
For example in a class of students qualitative data can include. For example the number of students the height of a plant or temperature of the oven. Quantitative data vs qualitative data data can be divided into two groups called quantitative and qualitative data. Quantitative data collection is a method in which data which can be numerically counted or expressed is collected.
It may help to remember quantitative data by linking qualitative with quantity and a quantity must be counted. 1 qualitative data collection is a method in which the characteristics attributes properties qualities etc. Qualitative data divides a data set the pool of data that you ve gathered into discrete chunks based on a specific attribute. Contrary to qualitative data quantitative data is statistical and is typically structured in nature meaning it is more rigid and defined.
Qualitative data is a data concerned with descriptions which can be observed but cannot be computed. The key variations between qualitative and quantitative data are as prescribed below. Quantitative data is data that is counted or measured.
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