Differentiate between qualitative and quantitative data

Differentiate Between Qualitative And Quantitative Data. Quantitative data is analyzed using statistical analysis while qualitative data is analyzed by grouping it in terms of meaningful categories or themes. Number of students in a class. Quantitative data are information that has a sensible meaning when referring to its magnitude. Quantitative data is a group of quantifiable information that can be used for mathematical computations and statistical analysis which informs real-life decisions while qualitative data is a group of data that describes information.

Give the examples for quantitative and qualitative data The examples of quantitative data are age salary height shoe size etc. There are several differences. The substantial differences in the actions are applied based on the size of the data samples. The different types of data are primary secondary qualitative or quantitative. Let us comprehend this through an example. Qualitative data focus on descriptions and does not include calculations.

Quantitative data is gathered by measuring and counting.

The major difference between the qualitative and quantitative data is that quantitative data is about the numbers and the qualitative data is descriptive. The substantial differences in the actions are applied based on the size of the data samples. Quantitative data are information that has a sensible meaning when referring to its magnitude. Let us comprehend this through an example. Quantitative data is gathered by measuring and counting. The main difference between qualitative and quantitative data is that qualitative data is descriptive while quantitative data is numerical.