Numerical data is quantitative research
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
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 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.
Qualitative 100% its that and not quantitative The variable is qualitative because it is an attribute characteristic.
A Likert scale is considered a quantitative measurement tool because it assigns numerical values to responses and allows for numerical analysis of data.
Qualitative properties are properties that are observed and can generally not be measured with a numerical result. They are contrasted to quantitative properties which have numerical characteristics.
Qualitative. *My teacher told me. rofl its quantitative not qualitative
Qualitative data is descriptive and non-numerical, focusing on qualities, characteristics, and opinions. Quantitative data is numerical and measurable, focusing on quantities, amounts, and statistical analysis.
qualitative
It is quantitative because it is numerical
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.