BUSINESS ADMINISTRATION
BUSINESS ANALYTICS
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Question
[CLICK ON ANY CHOICE TO KNOW THE RIGHT ANSWER]
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Discrete Variable
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Big Data
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Business Analytics
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Continuous Variable
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Detailed explanation-1: -Continuous data represents measurements and therefore their values can’t be counted but they can be measured. An example would be the height of a person, which you can describe by using intervals on the real number line.
Detailed explanation-2: -Quantitative variables take numerical values, and represent some kind of measurement. Quantitative variables are often further classified as either: Discrete, when the variable takes on a countable number of values.
Detailed explanation-3: -Discrete Data Discrete information contains only a finite number of possible values. Those values cannot be subdivided meaningfully. Here, things can be counted in whole numbers.
Detailed explanation-4: -Continuous variables are measured numerically, and have an infinite number of possible values. For example, an age variable measured continuously could have a value of 23.487 years old-if you wanted to get that specific!
Detailed explanation-5: -A variable is said to be continuous if it can assume an infinite number of real values within a given interval. For instance, consider the height of a student. The height can’t take any values. It can’t be negative and it can’t be higher than three metres.