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Discrete data are observations on a variable that which take values from a discrete set.

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Q: What is a example of discrete data?
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Are weight of motorcycles discrete data or continuous data?

The weight of the motorcycles is discrete and not the continuous data.


What graph is used to discrete data?

Any kind of graph can be used for discrete data.


Does Scatter analysis use discrete data?

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=== === === ===


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Can normal distridution apply on discrete data?

Yes, If you have a large data set, you can approximate the discrete data by Normal distribution (which is continuous). An example would be, "A coin is tossed 1000 times. What is the probability of rolling between 300 and 400 heads?" This problem, usually solved by Binomial distribution (which is a discrete distribution), is very difficult to solve because of the large data set and can be approximated by the Normal distribution.


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What is discrte data in maths?

In maths there is discrete data and continuous data. Continuous data can be measured to any degree of accuracy, e.g. I am 1.8716749873651 metres tall. Discrete data cannot...e.g. I have 2 sisters. Discrete data cannot have halves or decimals, whole numbers only.


What are discrete quantitive data?

First let's look at what quantitative data is.Quantitative data are numeric.Discrete data are numeric data that have a finite number of possible values.So it is numerical data that can only have a finite number of possible values.One often used example of discrete quantitative data is the number 1,2 3, and 4 corresponding to strongly agree, agree, neutral, and don't agree,


What is the difference between discrete data and continuous data?

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.


Continuous and discrete data?

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What are the advantages and disadvantages transforming of continuous data into either discrete or ordinal data?

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