Answer:
The data is qualitative data.
The data is neither discrete nor continuous.
Thus, from the above definition the highest level of measurement of the data process is ordinal.
Step-by-step explanation:
Consider the provided information.
- The value of quantitative Variables can be determined by counting or measuring something.
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The value of qualitative Variables can't be determined by counting or measuring something.
- Nominal variables are pertaining to names or It merely name differences,
- Ordinal variable: It is a rank-order observations in which order matters but difference between the value doesn't matters.
- Interval variable: It is useful if the difference between two values is meaningful.
- Ratio variable: this variable has all the properties of an interval variable, also it has a clear definition of 0.0.
Part (A)
Now consider the provided information.
A company is evaluating customer satisfaction with one of their products. A survey of 400 persons is conducted. Each person is asked: "What is your level of satisfaction with the company's products?" 1) Poor 2) Average 3) Good 4) Excellent
The provided data is a qualitative data as we can't measure something and give it a number value.
Since we are classify something, thus the data is qualitative data.
Part (B) Indicate whether the data is discrete, continuous, or neither,
Discrete and continuous are the type of quantitative data.
From Part (A) we know that data is qualitative, so the data is neither discrete nor continuous.
Part (C)
The data only tells about the level of satisfaction in a ordered manner nothing else.
It is rank-order observations in which order matters but difference between the value doesn't matters.
Thus, from the above definition the highest level of measurement of the data process is ordinal.
