Birth Rate is a quantitative variable because it represents a measurable quantity, specifically the number of live births per 1,000 people in a given population over a certain period of time. This numerical value allows for statistical analysis and comparisons between different populations or time periods.
Categorical.
No it is not.
No, a crosstabulation does not have to include both categorical and quantitative variables. It is primarily used to summarize the relationship between two categorical variables. However, quantitative variables can be categorized into groups or bins to create a crosstabulation, but it's not a requirement.
'Quantitative' has to do with the answer to the question, "How much, or how many?" 'Categorical' has to do with the answer to the question, "What kind?" 'Type of wood' would fall under the latter category.
Date of birth is considered a qualitative variable because it represents a categorical characteristic that describes an individual's identity rather than a measurable quantity. While it can be transformed into a quantitative measure (e.g., age), the date itself inherently categorizes people into different groups based on their birth dates.
They're useful for quantitaive data because they are used to list number faster, not give a categorical response
No. Income is a quantitative variable since it is measured in numbers instead of categories.
In my research I consider ESG socres predictors (independent variables). The data will be retrieved from Refinitv and I have doubt on whether ESG scores are categorical or quantitative data. I cannot choose the appropriate statistical test without being sure about this info. If predictor is categorical, then I choose MANOVA If predictor is quantitative, then the choice would be MULTIPLE REGRESSION analysis. Please, if you have time to answer, it would be a huge help getting a clear answer. Thank you.
Yeah that's a question online in your stats class. Read it more carefully. They are asking if Major (area of study) is a quantitative or categorical type of data Answer: Categorical.
They can both show the same data. You can use quantitative or categorical data with both of them.
Date of birth is Qualitative, but age is Quantitative.
The two basic divisions of data are qualitative or categorical data and quantitative or numeric data. Just because you have a number, doesn't necessarily make it quantitative. For example, zip codes, phone numbers and bank-accounts are numeric, but it doesn't make much sense to find the average phone number or median zip-code. These are examples of numbers applied to categorical data.