'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.
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'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.
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.
categorical is a data with numbers for example a table graph ! for 1st place and 2nd place its categorical !
Categorical.
No it is not.
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'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.
They can both show the same data. You can use quantitative or categorical data with both of them.
bar graphs use categorical data
Categorical data is the statistical data type consisting of categorical variables or of data that has been converted into that form, for example as grouped data.
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.
Graphs typically display quantitative data and categorical data. Quantitative data represents numerical values that can be measured, such as sales figures or temperatures, while categorical data represents groups or categories, such as types of fruits or survey responses. Together, these data types enable visual representation of trends, comparisons, and relationships.
categorical is a data with numbers for example a table graph ! for 1st place and 2nd place its categorical !