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Discrete variables have numbers that can be counted. Continuous data is measurable. Discrete data are data which can only take on a finite or countable number of values within a given range. Continuous data are data which can take on any value. It is measured rather than counted. The mass of a given sample of iron is continuous; the number of marbles in a bag is discrete.
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TaigaContinuous data can take all possible values between two values while discrete data cannot.
For example,
you can have desk that is 1 metre long or 1.2 metres or 1.2035 m or anything (provided you have instruments to measure with sufficient accuracy). But you can have only one child or 2 children or 3, etc. You cannot have 2.3 children!
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Does Scatter analysis use discrete data?
No. It uses continuous data. * * * * * Not true. It can use either discrete or continuous data.
What is non-continuous data?
Non-continuous data is called discrete data.
Continuous and discrete data?
Yeah, what about them
What is the difference between continuous sampling and discrete sampling?
Continuous data is data that can theoretically be any amount at all. There may be a maximum and minimum value, but all numbers in between are possible. For instance, the amount of time it takes to complete a task, might be 13.4864 seconds. This makes the time continuous data. Discrete is data that can only be set amounts. For instance, how much money someone has, or how many times they've been to the cinema. You cannot have 13.4864 cents, or have visited the cinema 7.33 times. This is a discrete value.
Two classifications of quantitative data?
Discrete and continuous.
