Question

College students at a large state university completed a survey about their academic and personal life. Questions ranged from "How many credits are you registered for this semester?" to "Would you define yourself as a vegetarian?"
Four sections of an introductory statistics course were chosen at random from all the sections of introductory statistics courses offered at the university in the semester when the survey was conducted, and the 312 students who completed the survey were students registered in one of the four chosen sections.
In this exercise, we will use a subset of variables from the survey and use the collected data to answer three questions. Note that (1) these are real data, and (2) the symbol * in the worksheet means that this observation is not available (this is known as a "missing value").
Identify the variable(s) that is/are relevant to this question, and then classify the relevant variable(s) as either quantitative or categorical.
Variables:
Math: Math SAT score
Verbal: Verbal SAT score
Credits: Number of credits the student is registered for
Year: Year in college (1=Freshman, 2=Sophomore, 3=Junior, 4=Senior)
Exercise: Time (in minutes) spent exercising in a typical day
Sleep: Time (in hours) spent sleeping in a typical day
Veg: Are you a vegetarian (yes, no, some)

Answer 1

Answer:

Math: Math SAT score _____________ Quantitative and relevant

Verbal: Verbal SAT score ___________Quantitative and relevant

Credits: Number of credits the student is registered for _______Quantitative and relevant

Year: Year in college (1=Freshman, 2=Sophomore, 3=Junior, 4=Senior)  ____Categorical and relevant

Exercise: Time (in minutes) spent exercising in a typical day ____Quantitative and relevant

Sleep: Time (in hours) spent sleeping in a typical day _____Quantitative and relevant

Veg: Are you a vegetarian (yes, no, some)_______ Categorical and relevant

Step-by-step explanation:

Data which can be classified in pre-defined categories is categorical.

Data which can be measured in numbers is quantitative.