Need help on the question below.
Jeff studied data from the following categories: age, countries, salary, tempature, types of trees, and year of education. List the quantitative data and list the categorical data.
Would the quantitative data be: age, salary, temperature, and year of education and the categorical data be: countries and types of trees? Thanks.
Quantitative data can be divided into smaller parts, where categorical data cannot.
They are all correct except years of education. If someone was attending the first semester of college, would you say he had 12.25 years of education?
Categorical data is what could be put into categories" countries, types of trees.
Quantitative has numerical values that could be averaged, etc. you are correct with your answer. And you could say that you have an average of 12.25 years of education.
Yes, you are correct. To determine which data are considered quantitative and categorical, let's understand the definitions of these terms.
Quantitative data are measurements or numerical values that can be counted or measured. This data can be broken down into further categories such as continuous or discrete. Continuous data can take any value within a certain range, while discrete data can only take specific values.
Categorical data, on the other hand, consists of labels or categories that cannot be numerically measured. It can be further divided into nominal and ordinal data. Nominal data represents categories with no specific order, while ordinal data has a specific order or ranking.
Based on this understanding, let's categorize the data in Jeff's study:
Quantitative Data:
- Age: This can be measured and represents a numerical value.
- Salary: This can be measured and represents a numerical value.
- Temperature: This can be measured and represents a numerical value.
- Year of Education: This represents a numerical value.
Categorical Data:
- Countries: This represents a group or category, not a numerical value. It is nominal data as there is no order or ranking between different countries.
- Types of Trees: This represents a group or category, not a numerical value. It is also nominal data as there is no order or ranking between different types of trees.
So, for Jeff's study, the quantitative data would include age, salary, temperature, and year of education, while the categorical data would include countries and types of trees.