An example of qualitative data is asking a small, select, group of engineering students whether they know how to work an AutoCAD system, then get them to show you.
Quantitive is pretty much the opposite, a large group of non-engineering students the same question.
The biggest difference is the quality (how informed they are) the group of people questioned are.
Qualitive Data: The gummy bear is green and ways 2 ounces
Quantitive Data: There is three gummy bears that are 2 cm tall
Hope that helps!! :P
qualitative
Quantitative data is quantity - how much. Qualitative data is quality - is it good? what is it like?
The length of a movie is quantitative data.
The fact that the data is qualitative or quantitative does not in and of itself have anything to do with its reliability.
Anytime you are able to measure something, it is quantitative data. Qualitative data represents the quality of something which cannot be measured.
qualitative
Qualitative and quantitative data are both 2 important types of data. Qualitative data is data based on observation and description. An easy way to remember this, Qualitative ---> QUALity. Examples of qualitative data are when you record colors, smells, textures, etc... Quantitative data is based on numerical values. An easy way to remember this, Quantitative ---> QUANTity. An example of quantitative data are any type of numerical values.
Quantitative data is quantity - how much. Qualitative data is quality - is it good? what is it like?
Quantitative data is quantity - how much. Qualitative data is quality - is it good? what is it like?
don't you mean quantitative data and qualitative data?
There are several different types of data. Some include qualitative and quantitative. Qualitative is data that is not numeric and quantitative data is numerical.
Numerical data is quantitative research
They are methods for analysing statistics in which that data are, respectively, qualitative and quantitative.
The length of a movie is quantitative data.
qualitative
Qualitative data analysis involves interpreting non-numerical data, such as text or images, to identify patterns, themes, and meanings. It often involves techniques like coding, categorizing, and theme identification to draw conclusions from the data. Quantitative data analysis, on the other hand, involves analyzing numerical data using statistical methods to understand relationships, patterns, and trends.
The fact that the data is qualitative or quantitative does not in and of itself have anything to do with its reliability.