The answer is i really don't know lol ask your family members ^^ lol
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In statistics numerical data is quantitative rather than qualitative.
It is numerical information about some characteristic. By contrast, qualitative data might be something like the colour of your eyes, or the name of your maths teacher.
A numerical expression is a mathematical phrase involving only numbers and one or more operational symbols. The following are some examples of numerical expressions. For example, the numerical expression 4 + 20 - 7 in the example above simplifies to the number 17.
Quantitative data is data that measures quantity, as opposed to qualitative data which describes quality. Some examples of quantitative data pertaining to weather would be: measurements of precipitation, records of number of days per month without precipitation, percentage of the chance of precipitation, records of daily high temperatures.
These are characteristics that are not represented by values. Examples of qualitative data are favourite fruit, or colour of hair etc. There may or may not be some ordering: as in never/rarely/sometimes/always or very poor/poor/indifferent/good/very good, where the frequeny or quality increases as you go from left to right but there are no numerical values attached to any of the categories.