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?

Check the explanation

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: option a.

step-by-step explanation:

you know that the quadrilateral opqr ( a four sided figure) is inscribed in circle. this means that all its vertices are on the circle.

then, by definition, the opposite angles of the quadrilateral are supplementary, this means that the sum of their measures is 180 degrees.

you can observe in the figure that the angles ∠opq   and the angle ∠orq   are opposite, therefore:

then, can be used to d to calculate the measure of ∠opq

600,000,000,000, or 6e14

step-by-step explanation: