Final answer:
The variables have been classified as either continuous, discrete, qualitative/categorical, or ordinal based on whether they represent countable numbers, measurable quantities, categorical choices, or ranked levels.
Step-by-step explanation:
Indicating whether each variable is continuous or discrete involves determining whether the data can take on any value within a range (continuous) or if they can only take on specific values (discrete). Let's analyze the given variables:
- Age measured in years is generally considered discrete because it is counted in whole years.
- Political Party is qualitative or categorical and therefore neither continuous nor discrete as quantitative terms.
- Number of bottle/cans of beer is a quantitative discrete variable because you count the number of cans/bottles.
- Weight measured in pounds is a continuous variable since weight can be measured with high precision and can take on any value within a range.
- Height measured in inches is also considered continuous for the same reason as weight.
- Scale from 1 to 7 about nervousness for statistics class is ordinal, which is neither continuous nor discrete as quantitative terms but a qualitative measure since it involves ranking.
- Being in a serious romantic relationship is a categorical data type since it’s a yes or no question.
- Number of hours spent on the internet can be considered continuous if you consider fractional hours, if it is only full hours, then it would be discrete.
- Age measured in years (repeated) is again discrete.