Below is a table of most of the variables in the dataset. For each variable listed, identify both the type of variable and the level of measurement (e.g., a student’s gender is categorical, nominal). variables type level of measurment exp     wks     bluecol     ind     south     smsa     married     sex     union     ed     black     wage     wage2       1. exp (years of full-time experience)2. wks (weeks worked)3. bluecol (whether the worker is a blue collar worker)4. ind (whether the worker works in a manufacturing industry)5. south (whether the worker resides in the south)6. smsa (whether the worker resides in a standard metropolitan statistical area)7. married (whether the worker is married)8. sex (male or female)9. union (whether the worker is part of a union)10. ed (years of education)11. black (whether the worker is black)12. lwage (gives the logarithm of the worker’s wage)13. wage (gives the worker’s wage this past year)14. wage2 (gives the worker’s wage for the second year)

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Average

In mathematics, everyone must have heard the term average in one place or other. Almost all types of calculation require taking out an average. In everyday life, the term is used for denoting a certain amount that can be said to be a typical quantity for multiple people or objects. In other words, if a group of people possesses a certain object, then the average gives us an idea regarding the quantity of the object possessed by each person. However, this is solely based on mathematical calculation. It is important to note that most people will not strictly have the average value in a group.