Wiki User
∙ 7y agoWant this question answered?
Be notified when an answer is posted
No, it is quantitative.
The answer depends on the nature of the variables: for a start, whether they are qualitative or quantitative.
The answer depends on what m represents and what other information you have about any other relevant variables.
A scatter diagram.
The answer depends on what sort of variables the data are (qualitative, quantitative-discrete, quantitative-continuous are; the nature of the relationship (if any) between the data sets; how much information you wish the graph to convey and how much you would prefer to describe in the accompanying text.
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, 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
Qualitative research does control some variables. Mediating variables are the type that researchers can intervene with during a quantitative study.
The answer depends on what m represents and what other information you have about any other relevant variables.
A scatter diagram.
A quantitative variable is numeric and therefore can be counted discretely or continuously. The other side of the spectrum is qualitative variables.