Short Answer 1: Define each variable by type (categorical or numerical) and sub-type (nominal, ordinal, continuous, or discrete): Weight: [ Select ] Shoe Size: [ Select ] Letter Grade (A, B, C, ...): [ Select ] Occupation: [ Select ] Money in Your Pocket: [ Select ] Area Code: [ Select ]
Given information:
Following variables are provided:
- Weight
- Shoe size
- Letter Grade (A, B, C,.......)
- Occupation
- Money in your pocket
- Area Code
It is required to define each of the above variables by type: categorical or numerical and by the sub-type: nominal, ordinal, discrete, or continuous.
Introduction:
- Categorical data: It is also known as qualitative data. It is data of the type where grouping or categorizing according to the name or labels can be made possible. This categorizing is done based on the characteristics of the data.
Sub-type:
Nominal data: This data consists of the variables that are simply "labeled" or "termed," but with no specific order.
Ordinal data: This data consists of the variables that are not limited to only labeling and naming but in a specific order.
- Numerical data: It is also known as quantitative data. It is the data consisting of numerical values rather than a grouping or categorizing. This data type can be used as a form of measurement.
Sub-type:
Discrete data: This data consists of the variables that are countable in a specific interval of time. They are the fixed values.
Continuous data: This data consists of uncountable variables. They are not fixed values; instead are depicted as a set of intervals on a real number line.
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