An education specialist conducts a study to determine which of three teaching methods is most effective with regard to adult ability to solve a particular type of logic problem. From a sample of thirty adult subjects, ten are randomly assigned to receive instruction using each teaching method. At the end of the instruction period, all subjects take the same test, and each obtains a test score which measures their ability to solve the particular type of problem. The specialist believes that several other variables may have an impact on the test scores, and thus includes these variables in the data set and data analysis. The resulting data set includes the following variables: "subject name", "teaching method (standard method, new method A, new method B)", "test score (0 to 10)", "gender (male, female)", "age (in years)", "high school diploma (yes, no)", "race (Asian, African-American, Caucasian)". 1. Identify which of the above variables are dichotomous. 2. Identify which of the above variables are quantitative. 3. Identify which of the above variables are categorical.
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Dichotomous variables are also called binary variables because they have only two categories like Yes/No, True/False, etc.. So anything that has no order and has two categories is a dichotomous variable.
Quantitative variables provide a numerical measure of a subject. In this variable, arithmetic operations like addition, subtraction, multiplication, or division can be performed on the values of the quantitative variable and provide meaningful results. Sample size, height, and weight are some of the quantitative variables.
When subjects are collected in groups or categories that do not vary in degree, quantity, or quantity is called categorical variable. Some examples are rainbow color, gender, occupation, race, etc.,.
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