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.
A scatter diagram.
The answer depends on what m represents and what other information you have about any other relevant variables.
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.
The answer depends on the nature of the variables: for a start, whether they are qualitative or quantitative.
Interval and ratio
A scatter diagram.
The answer depends on what m represents and what other information you have about any other relevant variables.
In qualitative research, researchers do not typically control variables in the same way as in quantitative research. Instead, they aim to explore and understand the complexities and nuances of a phenomenon without manipulating variables. The focus is on gaining in-depth insights and understanding the context in which the research is conducted.