Qualitative data is typically categorical and represents characteristics or qualities that cannot be measured on a numerical scale, such as colors, names, or labels. However, in some contexts, qualitative data can be treated as continuous when it involves ordinal scales, where categories have a meaningful order but the intervals between them are not uniform. For example, satisfaction ratings (like "satisfied," "neutral," and "dissatisfied") can be analyzed in a way that reflects a continuum of responses. Nonetheless, true continuous data is generally associated with quantitative measurements.
A line graph is primarily used to represent quantitative data, showing trends over time or continuous variables. It is not suitable for comparing qualitative data, which involves categories or non-numerical information. For qualitative data, bar charts or pie charts are more appropriate as they can effectively display the differences among distinct categories.
frequency distribution contain qualitative data
The fact that the data is qualitative or quantitative does not in and of itself have anything to do with its reliability.
qualitative
Quantitative data is quantity - how much. Qualitative data is quality - is it good? what is it like?
Qualitative data is information that can not be measured, such as the colour of your eyes. Qualitative data descriobes
Qualitative data is information that is not in numerical form.
qualitative data
Quantitative data is quantity - how much. Qualitative data is quality - is it good? what is it like?
frequency distribution contain qualitative data
The fact that the data is qualitative or quantitative does not in and of itself have anything to do with its reliability.
qualitative
Quantitative data is quantity - how much. Qualitative data is quality - is it good? what is it like?
Qualitative data is the data which deals with description and observation... In sociology, the qualitative data is based on observing and describing something in detail.. However, the Quantitative data is the data which is associated with numeric. It comes from the word "quantity"
Yes, data can be classified as non-discrete and non-continuous, typically falling into a category known as categorical or qualitative data. This type of data represents characteristics or qualities that do not have a numerical value and cannot be ordered in a meaningful way, such as colors, names, or labels. Examples include nominal data, like types of fruit, which cannot be measured on a scale or counted in a traditional sense.
There are several different types of data. Some include qualitative and quantitative. Qualitative is data that is not numeric and quantitative data is numerical.
qualitative