Qualitative
100% its that and not quantitative
The variable is qualitative because it is an attribute characteristic.
The two types of observations are qualitative and quantitative. Qualitative observations are descriptive and based on qualities, while quantitative observations involve measurements and numerical data.
Qualitative observations are descriptive and non-numerical, focusing on qualities like color, texture, or smell. Quantitative observations involve measurements and numerical data, such as weight, length, or temperature.
Both qualitative and quantitative observations are important, as they provide different insights. Quantitative observations give numerical data and allow for statistical analysis, while qualitative observations provide descriptive information and help in understanding the context and meaning behind the numbers. Both types of observations are essential for a comprehensive understanding of a situation.
Using a quantitative sampling method in a qualitative study could result in a lack of in-depth understanding of participants' experiences and perspectives. On the other hand, using a qualitative sampling method in a quantitative study could introduce bias and limit the generalizability of the findings.
This procedure is qualitative because it focuses on gathering descriptive data and understanding the quality or characteristics of a phenomenon rather than measuring it numerically. Quantitative procedures involve collecting numerical data for statistical analysis.
quantitative = numbers qualitative = not numbers (e.g. gender, state, ...)
quantitative = numbers qualitative = not numbers (e.g. gender, state, ...)
qualitative
qualitative = how good something is quantitative= how much of it there is
PH is a number, so it is quantitative.
Date of birth is Qualitative, but age is Quantitative.
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qualitative
qualitative
Qualitative
It is quantitative because it is numerical
Quantitative