quantitative = numbers
qualitative = not numbers (e.g. gender, state, ...)
qualitative
Date of birth is Qualitative, but age is Quantitative.
The primary characteristic that distinguishes quantitative data from qualitative data is that quantitative data is numerical and can be measured or counted, allowing for statistical analysis and objective comparisons. In contrast, qualitative data is descriptive and subjective, focusing on characteristics, themes, or qualities that cannot be easily quantified. While quantitative data answers "how much" or "how many," qualitative data explores "why" or "how" regarding a phenomenon.
Qualitative
qualitative
quantitative = numbers qualitative = not numbers (e.g. gender, state, ...)
Quantitative data may be used to make a graph or table. Qualitative is easier to explain with numbers or a written description.
Quantitative data is measurable and numerical in nature. In contrast, qualitative data is any data that is not numerical and cannot be measured, only observed. Examples of quantitative data include age, height, year, and population. Examples of qualitative data include color, gender, country, and city.
i dont know... sorry
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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The primary characteristic that distinguishes quantitative data from qualitative data is that quantitative data is numerical and can be measured or counted, allowing for statistical analysis and objective comparisons. In contrast, qualitative data is descriptive and subjective, focusing on characteristics, themes, or qualities that cannot be easily quantified. While quantitative data answers "how much" or "how many," qualitative data explores "why" or "how" regarding a phenomenon.
It is quantitative because it is numerical
Two common ways to compare things are through qualitative and quantitative analysis. Qualitative comparison involves assessing the characteristics or qualities of the items, such as their features, aesthetics, or user experiences. In contrast, quantitative comparison relies on numerical data, allowing for objective measurements like size, weight, or performance metrics. Both methods can provide valuable insights depending on the context of the comparison.