To classify the given examples as Quantitative or Categorical, we need to understand the nature of each variable:
1. Age: This is a measurable quantity that represents the number of years a person has lived. Since age can be quantified and represented numerically, it falls under the category of Quantitative variables.
2. Gender: Gender represents categories such as male, female, or other categories based on personal identification. Since these categories are not numerical but instead descriptive, gender is classified as a Categorical variable.
3. Income: Income is a numerical representation of the amount of money earned by an individual or household. As it can be measured and represented using numbers, income is considered a Quantitative variable.
4. Education Level: This variable refers to categories such as high school, bachelor's degree, master's degree, and so on. These categories describe different levels of education, making education level a Categorical variable.
5. Temperature: Temperature is a measurable quantity that can be represented numerically (e.g., degrees Celsius or Fahrenheit). Hence, temperature is classified as a Quantitative variable.
6. Eye Color: Eye color represents categories like blue, green, brown, etc. Since these are descriptive categories rather than numerical values, eye color is a Categorical variable.
Now, summarizing the classifications in the table format provided:
\begin{tabular}{|l|l|}
\hline
\multicolumn{1}{|c|}{Example} & \multicolumn{1}{|c|}{Quantitative or Categorical?} \\
\hline
Age & Quantitative \\
\hline
Gender & Categorical \\
\hline
Income & Quantitative \\
\hline
Education Level & Categorical \\
\hline
Temperature & Quantitative \\
\hline
Eye Color & Categorical \\
\hline
\end{tabular}
Each variable has been carefully classified based on whether it is numeric and measurable (Quantitative) or descriptive and categorical (Categorical).
