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Know the Differences & Comparisons

Difference Between Discrete and Continuous Data

Last updated on September 16, 2017 by Surbhi S

discrete vs continuous dataIn statistics, data is defined as the facts and figures collected together for the purpose of analysis. It is divided into two broad categories, qualitative data, and quantitative data. Further, the qualitative data is cannot be measured in terms of numbers and it is sub-divided into nominal and ordinal data. On the other hand, quantitative data is one that contains numerical values and uses range. It is sub-classified as discrete and continuous data. Discrete data contains finite values that have nothing in-between

As against, continuous data contains data that can be measured, that includes fractions and decimals. Take a read of the article to know the difference between discrete and continuous data

Content: Discrete Data Vs Continuous Data

  1. Comparison Chart
  2. Definition
  3. Key Differences
  4. Conclusion

Comparison Chart

Basis for ComparisonDiscrete DataContinuous Data
MeaningDiscrete data is one that has clear spaces between values.Continuous data is one that falls on a continuous sequence.
NatureCountableMeasurable
ValuesIt can take only distinct or separate values.It can take any value in some interval.
Graphical RepresentationBar GraphHistogram
Tabulation is known asUngrouped frequency distribution.Grouped frequency distribution.
ClassificationMutually InclusiveMutually Exclusive
Function graphShows isolated pointsShows connected points
ExampleDays of the weekMarket price of a product

Definition of Discrete Data

The term discrete implies distinct or separate. So, discrete data refers to the type of quantitative data that relies on counts. It contains only finite values, whose subdivision is not possible. It includes only those values that can only be counted in whole numbers or integers and are separate which means the data cannot be broken down into fraction or decimal.

For example, Number of students in the school, the number of cars in the parking lot, the number of computers in a computer lab, the number of animals in a zoo, etc.

Definition of Continuous Data

Continuous data is described as an unbroken set of observations; that can be measured on a scale. It can take any numeric value, within a finite or infinite range of possible value. Statistically, range refers to the difference between highest and lowest observation. The continuous data can be broken down into fractions and decimal, i.e. it can be meaningfully subdivided into smaller parts according to the measurement precision.

For Example, Age, height or weight of a person, time taken to complete a task, temperature, time, money, etc.

Key Differences Between Discrete and Continuous Data

The difference between discrete and continuous data can be drawn clearly on the following grounds:

  1. Discrete data is the type of data that has clear spaces between values. Continuous data is data that falls in a continuous sequence.
  2. Discrete data is countable while continuous data is measurable.
  3. Discrete data contains distinct or separate values. On the other hand, continuous data includes any value within range.
  4. Discrete data is graphically represented by bar graph whereas a histogram is used to represent continuous data graphically.
  5. Tabulation of discrete data, done against a single value, is called as an ungrouped frequency distribution. On the contrary, tabulation for continuous data, done against a group of value, called as grouped frequency distribution.
  6. Overlapping or mutually exclusive classification, such as 10-20, 20-30,.., etc. s done for continuous data. As opposed to, non-overlapping or mutually inclusive classification like 10-19,20-29,…., etc. is done for discrete data.
  7. In a graph of the discrete function, it shows distinct point which remains unconnected. Unlike, continuous function graph, the points are connected with an unbroken line

Conclusion

Hence, with the above explanation and example, it would be quite clear that the two types of data are different. Discrete data expects a certain number of isolated values. In contrast to continuous data, which expects any value from a given range (without any breaks), and is related to physical measurement.

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Comments

  1. Pop says

    November 22, 2017 at 2:43 pm

    SO COOL

    Reply
  2. Zaharaddeen auwal jikamshi FUDMA says

    March 21, 2018 at 3:39 pm

    I REALLY APPRECIATE THIS ARTICLE AND I ACTUALLY COMPREHEND THE TOPIC. THANKS.

    Reply
  3. Lazarus Nchoe says

    April 12, 2018 at 4:56 pm

    Very good and well explained concepts. Sometimes textbooks are not that good enough with explaining real meaning of concepts, but here we are, just as simple as ABC.

    Reply
  4. Aman says

    July 30, 2018 at 9:04 am

    I like this site very much..answers are very good,especially comparison charts.

    Reply
  5. nandini says

    December 30, 2018 at 2:00 pm

    what is the difference between the two datas in a frequency table?

    Reply
  6. Rajni says

    January 3, 2021 at 1:58 pm

    Best explanation ever! 🙂

    Reply

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