Question

lets meet the data cycle - categorical versus numerical data worksheet
directions: for each of the investigative questions, identify the variable(s) and label them as either categorical or numerical. then determine if it is univariate (one variable) or bivariate (two variables).
investigative question|variables|number of variables

1. is there a correlation between hours spent studying per week and final exam scores?|variable #1: __ categorical or numerical variable #2: __ categorical or numerical|univariate or bivariate
2. what is the most common type of extracurricular activity that students in our school participate in?|variable #1: __ categorical or numerical variable #2: __ categorical or numerical|univariate or bivariate
3. does the average salary differ between the different positions in a company?|variable #1: __ categorical or numerical variable #2: __ categorical or numerical|univariate or bivariate

Explanation:

Step1: Analyze question 1

Variable #1: Hours spent studying per week, NUMERICAL. Variable #2: Final exam scores, NUMERICAL. There are two variables, so BIVARIATE.

Step2: Analyze question 2

Variable #1: Type of extracurricular activity, CATEGORICAL. There is only one variable, so UNIVARIATE. Variable #2 is not applicable here.

Step3: Analyze question 3

Variable #1: Position in a company, CATEGORICAL. Variable #2: Average salary, NUMERICAL. There are two variables, so BIVARIATE.

Answer:

1. Variable #1: Hours spent studying per week, NUMERICAL; Variable #2: Final exam scores, NUMERICAL; BIVARIATE
2. Variable #1: Type of extracurricular activity, CATEGORICAL; Variable #2: N/A; UNIVARIATE
3. Variable #1: Position in a company, CATEGORICAL; Variable #2: Average salary, NUMERICAL; BIVARIATE