It is extremely important for a researcher to clearly define the variables in a study because this helps to determine the type of analysis that can be performed on the data. For example, if a researcher wanted to describe people people based on Social Security Social Security number number, what level of measurement would the variable " Social Security number Social Security number" be? Now suppose the researcher felt that certain people with a greater birth people with a greater birth weight weight received higher numbers numbers. Does the level of measurement of the variable change? If so, how?

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Step-by-step explanation:

Level of measurement for Social security numbers is Nominal.

But when social security number is given accirding to birth weight,it becomes ordered data,so level of measurement will be Ordinal.

Nominal: Categorical data and numbers that are simply used as identifiers or names represent a nominal scale of measurement. Numbers on the back of a baseball jersey and your social security number are examples of nominal data. If I conduct a study and I'm including gender as a variable, I may code Female as 1 and Male as 2 or visa versa when I enter my data into the computer. Thus, I am using the numbers 1 and 2 to represent categories of data.

Ordinal: An ordinal scale of measurement represents an ordered series of relationships or rank order. Individuals competing in a contest may be fortunate to achieve first, second, or third place. first, second, and third place represent ordinal data.

answer: he is 272195

step-by-step explanation: all you have to do is multiple 3535 and 77 and it equals 272195