The main difference between qualititative and quantitative data is the numeric information. In quliatative data we only rely on information from the field which is not numeric and the quantitative data contains numerica data. That's why quantitative data is also know as mathematic dats.
Quantitative data deals with numbers and data that are measurable. Qualitative data, meanwhile, deals with descriptions and data that are observable but not measurable.
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.
Qualitative data is describing by looks (I.e. The plant is green, or the person is taller than the dog) Quantitative data is describing by numbers (I.e. 8' tall, or 35 inches long)
Quantitative observations are the data collected in an experiment, mostly numbers. Qualitative observations would usually include written answers to analysis questions.
don't you mean quantitative data and qualitative data?
The main difference between qualititative and quantitative data is the numeric information. In quliatative data we only rely on information from the field which is not numeric and the quantitative data contains numerica data. That's why quantitative data is also know as mathematic dats.
Quantitative data is quantity - how much. Qualitative data is quality - is it good? what is it like?
what is the difference between qualitative and quantitative
Quantitative observations refer to empirical and/or calculated data, while the latter refer to things such as colour and smell.
Quantitative data deals with numbers and data that are measurable. Qualitative data, meanwhile, deals with descriptions and data that are observable but not measurable.
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.
False. Data at the ordinal level can be either quantitative or qualitative. In ordinal data, the categories have a meaningful order or rank, but the difference between the categories is not necessarily equal.
Quantitative data is numerical and deals with measurable quantities, while qualitative data is descriptive and deals with qualities or characteristics. Quantitative data can be analyzed using statistical methods, while qualitative data is typically analyzed through interpretation.
Qualitative data is describing by looks (I.e. The plant is green, or the person is taller than the dog) Quantitative data is describing by numbers (I.e. 8' tall, or 35 inches long)
Quantitative observations are the data collected in an experiment, mostly numbers. Qualitative observations would usually include written answers to analysis questions.
Quantitative data is data that is relating to, measuring, or measured by the quantity of something, rather than its quality. ex: the number of people in a townQualitative data is data that can be captured that is not numerical in nature ex: the color of people's skin.Thus, essentially the distinction is that quantitative data deals with numbers and numerical values of what is being tested, where as qualitative data deals with the quality of what is being tested.Qualitative data's description cannot be describe in numbers. Quantitative data's description ca only be described in numbers.