Select all the levels of measurement for which data can be qualitative. a. Ratiob. Intervalc. Ordinald. Nominal

C.) Ordinal

D.) Nominal

Step-by-step explanation: Qualitative variables simply refers to variables of non-numeric character, nature or property. They are usually employed in assigning variables into discreet groups. The nominal and ordinal scales are employed when dealing with qualititative or categorical variables, with nominal variables used when the classes or groups involved do not follow any definite order or rank. Example include classifying sex into (male or Female), and other categorical classification of discreet nature. The ordinal scale is usually employed when dealing with ranked classifications such as level of importance[very important, Important, not so important, unimportant] or grade[distinction, excellent, very good, good, fair, poor].

step-by-step explanation:

f(gx)=f(1/x+2)

=(1/x+2)+2

=(1+2x)/2+2

=(1+2x+4)/2

= (2x+5)/2

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