The compilation of information you are referring to is called a "data set." A data set typically contains quantitative information that represents measures of one or more variables, and it can be used for analysis and statistical evaluation.
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.
No, it is quantitative.
The answer depends on the nature of the variables: for a start, whether they are qualitative or quantitative.
Variables are characteristics or attributes that can take on different values or categories. They can be classified as qualitative (categorical) or quantitative (numerical). Qualitative variables describe qualities or characteristics, such as color or type, while quantitative variables represent measurable quantities, such as height or age. Additionally, variables can be independent or dependent, depending on whether they influence or are influenced by other variables in a study or experiment.
A scatter diagram.
They are variables that can take quantitative - as opposed to qualitative values. For example, the colour of peoples' eyes is a qualitative variable, but their age or shoe size are quantitative variables.
has alot to do with numbers Quantitative information is defined as the fundamental of the scientific and engineering analysis about what substrate will be fed into the system, operating condition which can be obtained by measuring pertinent physical and chemical variables.
nominal and ordinal is wrong; those are the two types of qualitative variables. Ratio and interval are the two types of quantitative variables.
The answer choices for this question were not provided. So there fore the question can not be answered because there is not enough information.
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.
No, it is quantitative.
They are variables that can take quantitative - as opposed to qualitative values. For example, the colour of peoples' eyes is a qualitative variable, but their age or shoe size are quantitative variables.
Quantitative variables are those that can be measured and expressed numerically, allowing for mathematical operations. They can be further categorized into discrete variables, which take on specific values (like the number of students in a class), and continuous variables, which can take any value within a range (like height or temperature). Examples of quantitative variables include age, income, test scores, and distances.
The answer depends on the nature of the variables: for a start, whether they are qualitative or quantitative.
Interval and ratio
Variables are characteristics or attributes that can take on different values or categories. They can be classified as qualitative (categorical) or quantitative (numerical). Qualitative variables describe qualities or characteristics, such as color or type, while quantitative variables represent measurable quantities, such as height or age. Additionally, variables can be independent or dependent, depending on whether they influence or are influenced by other variables in a study or experiment.
A scatter diagram.