Define Variables and Attributes?
Define Variables and Attributes?
Some data are qualitative data with a quality characteristic or attribute that are described in terms of measurements. These data can be classified and counted. This category of data is called attribute data. These data are described qualitatively in terms of dimensions, weights or other attributes that meet or do not meet product specification. Attribute data are all around use. For example, telephone area codes, clothing sizes, pass or fail assessment; all these can be called attribute data. These data clearly define whether a product achieves conformance, either it does or it doesn’t. For example, if it is supposed to rain today, either it will or it will not. It’s like a ‘Yes’ or ‘No’ scenario, meaning it is either Yes or No. So, attribute data is something that can be measured in terms of numbers or can be described as either yes or no for recording and analysis
If you can meaningfully add or subtract values of the data, then you are working with what is called variable data or continuous data. The name continuous refers to the idea that this type of data can have any value from a continuous scale, like the temperature reading on a mercury thermometer. Variable data is data that is used to measure some physical characteristics such as length, width, temperature, time, strength, thickness, pressure, and so on. These are quantitative data that can be acquired through measurements. For example, the number of children in a house can only be an integer value, like you cannot have 1.5 or 2.3 children in a house; you can only have 1 or 2 children. So, you can take integer measurement from each household and perform some sort of mathematical calculations such as derive an average or standard deviation from the data. This is what sets variable data from attribute data.
Step by step
Solved in 3 steps
