|
|
There are different kinds of questions it can be useful to ask. To answer these questions will require numerical tools. In the following examples imagine we have survey data from a group of 300 clients. The survey data from these clients includes:
Questions about variables In the client survey data above the variables are the questions you ask, for example: What is your age? Age is a variable. Is the service timely? The response is a variable. Examples of questions about variables are:
Answering these questions requires the use of numerical tools, for example:
Questions about the relationships between one variable with another Questions can be about how one variable relates with another. For example:
Answering these questions requires the use of numerical tools, for example:
Questions about the relationships between several variables with another Questions can be about how several variables relates with each other. For example:
Answering these questions requires the use of numerical tools, for example:
Questions about differences between groups Questions can be about the differences between groups of clients. For example:
Answering these questions requires the use of numerical tools, for example:
Question about types or clusters of clients Questions can be about how to groups clients together into types of clients, or clusters of clients. For example:
Answering these questions requires the use of numerical tools, for example:
Questions about underlying structure in the data Questions can be about the underlying structure in the data. For example, we may have asked 8 questions about the perceived quality of services. We can ask?
Answering these questions requires the use of numerical tools, for example:
Questions about prediction Questions can be about prediction. For example:
Answering these questions requires the use of numerical tools, for example:
|
|