Question

Give example of continuous and non continuous (discrete) frequency distribution ​

Answer 1

Home » Glossaries » Continuous vs. Discrete Distributions

Continuous vs. Discrete Distributions

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A discrete distribution is one in which the data can only take on certain values, for example integers. A continuous distribution is one in which data can take on any value within a specified range (which may be infinite). For a discrete distribution, probabilities can be assigned to the values in the distribution - for example, "the probability that the web page will have 12 clicks in an hour is 0.15." In contrast, a continuous distribution has an infinite number of possible values, and the probability associated with any particular value of a continuous distribution is null. Therefore, continuous distributions are normally described in terms of probability density, which can be converted into the probability that a value will fall within a certain range.

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Answer 2

Answer:

discrete distribution is one in which the data can only take on certain values, for example of continuous frequency

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