Briefly explain why it is easier to scientifically and mathematically analyze continuous data and not so easy a task to examine categorical data.
What will be an ideal response?
Continuous data are empirical observations that can be manipulated via algebraic equations such as used within statistics. Any continuous variable can be readily added, subtracted, multiplied, and divided. Higher end mathematical and statistical operations can be performed with relative ease using continuous data. For example, the variable of income can be added to other individual’s annual income to give an impression of an economic base of a certain geographic region. This variable could also be subtracted, multiplied, or even divided by various techniques to arrive at very real and meaningful outcomes for a researcher. On the other hand, categorical variables cannot easily be manipulated mathematically. For example, a variable of gender, defined as male and female categories, cannot readily be manipulated via statistics. It’s not possible to add one male to two females and then divide by three females and arrive at any meaningful or proper answer.
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