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# What is the difference between discrete and continuous data?

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Discrete data refers to specific and distinct values, while continuous data are values within a bounded or boundless interval. Discrete data and continuous data are the two types of numerical data used in the field of statistics.

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Data is generally classified into two categories: descriptive and numerical. Descriptive data, also called qualitative or categorical data, are represented by words that characterize a set of values while numerical data, known as quantitative data, are denoted by numbers. In discrete data, the number of possible values is countable, while continuous data is measurable and can take on infinite values. Some examples of discrete data include shoe size, set of natural numbers and number of siblings. Distance, set of real numbers and mass are some common examples of continuous data.

## Related Questions

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Statistics as a numerical fact is a piece of numerical information, also known as data, used to describe an event, occurrence or phenomena. Statistics as a discipline uses statistics or numerical pieces of information to solve problems in the everyday world and in academics. Those who work with statistics as a discipline are called statisticians.

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Some examples of continuous variables are measuring people's weight within a certain range, measuring the amount of gas put into a gas tank or measuring the height of people. A continuous variable is any variable that can be any value in a certain range.

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Descriptive statistics are statistics that describe the central tendency of the data, such as mean, median and mode averages. Variance in data, also known as a dispersion of the set of values, is another example of a descriptive statistics. Greater variance occurs when scores are more spread out from the mean. Descriptive statistics summarize data.