Nominal (unordered) variables, e.g., gender, ethnic background, religious or political affiliation. Ordinal (ordered) variables, e.g., grade levels, income levels, school grades. Discrete interval variables with only a few values, e.g., number of times married.
Numerical data are quantitative data types. For example: weight, temperature, height, GPA, annual income, etc. are classified under numerical or quantitative data. In comparison, categorical data are qualitative data types.
For example: weight, temperature, height, GPA, annual income, etc. are classified under numerical or quantitative data. In comparison, categorical data are qualitative data types. Some examples include: name, hair colour, qualification etc.
General rule of thumb: if you can add it, it's quantitative. For example, a G.P.A. of 3.3 and a G.P.A. of 4.0 can be added together (3.3 + 4.0 = 7.3), so that means it's quantitative.
Therefore the high school GPA is the independent variable called x, while the freshmen GPA is the dependent variable called y....Dependent and Independent Variables.StudentHigh School GPAFreshmen GPA42.72.818.104.22.168.072.92.6
The fist-sized portion was developed to creation rational portions. It's taken by filling the plate with one “fistful” of carbohydrates, one “fistful” of protein and two “fistfuls” of vegetables. Three “fingers” of fat are permitted.
SAT and/or ACT scores are required for first time in college applicants. They are one factor used in the admissions decision as outlined in the Florida Board of Governors regulation 6.002. For more information see First Year Pathways.